[{"oa":1,"arxiv":1,"acknowledgement":"The authors would like to thank Jan Maas, Mahdi Soltanolkotabi, and Daniel Soudry for the helpful discussions, Marius Kloft, Matthias Hein and Quoc Dinh Tran for proofreading portions of a prior version of this paper, and James Martens for a clarification concerning LeCun’s initialization. M. Mondelli was partially supported by the 2019 Lopez-Loreta Prize. Q. Nguyen was partially supported by the German Research Foundation (DFG) award KL 2698/2-1.","author":[{"first_name":"Quynh","last_name":"Nguyen","full_name":"Nguyen, Quynh"},{"full_name":"Mondelli, Marco","orcid":"0000-0002-3242-7020","id":"27EB676C-8706-11E9-9510-7717E6697425","first_name":"Marco","last_name":"Mondelli"}],"project":[{"_id":"059876FA-7A3F-11EA-A408-12923DDC885E","name":"Prix Lopez-Loretta 2019 - Marco Mondelli"}],"language":[{"iso":"eng"}],"page":"11961–11972","article_processing_charge":"No","citation":{"short":"Q. Nguyen, M. Mondelli, in:, 34th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2020, pp. 11961–11972.","ista":"Nguyen Q, Mondelli M. 2020. Global convergence of deep networks with one wide layer followed by pyramidal topology. 34th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 33, 11961–11972.","chicago":"Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology.” In 34th Conference on Neural Information Processing Systems, 33:11961–11972. Neural Information Processing Systems Foundation, 2020.","ama":"Nguyen Q, Mondelli M. Global convergence of deep networks with one wide layer followed by pyramidal topology. In: 34th Conference on Neural Information Processing Systems. Vol 33. Neural Information Processing Systems Foundation; 2020:11961–11972.","apa":"Nguyen, Q., & Mondelli, M. (2020). Global convergence of deep networks with one wide layer followed by pyramidal topology. In 34th Conference on Neural Information Processing Systems (Vol. 33, pp. 11961–11972). Vancouver, Canada: Neural Information Processing Systems Foundation.","ieee":"Q. Nguyen and M. Mondelli, “Global convergence of deep networks with one wide layer followed by pyramidal topology,” in 34th Conference on Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 11961–11972.","mla":"Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology.” 34th Conference on Neural Information Processing Systems, vol. 33, Neural Information Processing Systems Foundation, 2020, pp. 11961–11972."},"volume":33,"month":"07","publication":"34th Conference on Neural Information Processing Systems","intvolume":" 33","abstract":[{"lang":"eng","text":"Recent works have shown that gradient descent can find a global minimum for over-parameterized neural networks where the widths of all the hidden layers scale polynomially with N (N being the number of training samples). In this paper, we prove that, for deep networks, a single layer of width N following the input layer suffices to ensure a similar guarantee. In particular, all the remaining layers are allowed to have constant widths, and form a pyramidal topology. We show an application of our result to the widely used LeCun’s initialization and obtain an over-parameterization requirement for the single wide layer of order N2.\r\n"}],"publication_status":"published","title":"Global convergence of deep networks with one wide layer followed by pyramidal topology","main_file_link":[{"url":"https://arxiv.org/abs/2002.07867","open_access":"1"}],"day":"07","quality_controlled":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2021-03-03T12:06:02Z","status":"public","date_published":"2020-07-07T00:00:00Z","conference":{"end_date":"2020-12-12","location":"Vancouver, Canada","start_date":"2020-12-06","name":"NeurIPS: Neural Information Processing Systems"},"year":"2020","type":"conference","publisher":"Neural Information Processing Systems Foundation","oa_version":"Preprint","alternative_title":["Advances in Neural Information Processing Systems"],"_id":"9221","department":[{"_id":"MaMo"}],"external_id":{"arxiv":["2002.07867"]},"date_updated":"2025-05-14T11:27:13Z"},{"_id":"9222","corr_author":"1","title":"Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling","file":[{"access_level":"open_access","date_updated":"2021-03-05T17:50:45Z","checksum":"41b66e195ed3dbd73077feee77b05652","file_size":13317557,"file_name":"DOI_SiteControlledHWs.zip","file_id":"9223","creator":"gkatsaro","relation":"main_file","date_created":"2021-03-05T17:50:45Z","content_type":"application/x-zip-compressed"},{"relation":"main_file","date_created":"2021-03-10T07:31:50Z","success":1,"content_type":"text/plain","access_level":"open_access","date_updated":"2021-03-10T07:31:50Z","checksum":"a1dc5f710ba4b3bb7f248195ba754ab2","file_size":3515,"file_name":"Readme.txt","file_id":"9233","creator":"dernst"}],"has_accepted_license":"1","oa_version":"Published Version","file_date_updated":"2021-03-10T07:31:50Z","tmp":{"short":"CC0 (1.0)","image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)"},"doi":"10.15479/AT:ISTA:9222","date_updated":"2025-06-12T07:16:21Z","related_material":{"record":[{"id":"7541","relation":"used_in_publication","status":"public"}]},"day":"16","department":[{"_id":"GeKa"}],"article_processing_charge":"No","contributor":[{"last_name":"Katsaros","first_name":"Georgios","id":"38DB5788-F248-11E8-B48F-1D18A9856A87","contributor_type":"research_group"}],"citation":{"ama":"Katsaros G. Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling. 2020. doi:10.15479/AT:ISTA:9222","apa":"Katsaros, G. (2020). Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9222","ista":"Katsaros G. 2020. Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling, Institute of Science and Technology Austria, 10.15479/AT:ISTA:9222.","chicago":"Katsaros, Georgios. “Transport Data for: Site‐controlled Uniform Ge/Si Hut Wires with Electrically Tunable Spin–Orbit Coupling.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:9222.","short":"G. Katsaros, (2020).","ieee":"G. Katsaros, “Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling.” Institute of Science and Technology Austria, 2020.","mla":"Katsaros, Georgios. Transport Data for: Site‐controlled Uniform Ge/Si Hut Wires with Electrically Tunable Spin–Orbit Coupling. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:9222."},"date_published":"2020-03-16T00:00:00Z","status":"public","author":[{"last_name":"Katsaros","id":"38DB5788-F248-11E8-B48F-1D18A9856A87","first_name":"Georgios","orcid":"0000-0001-8342-202X","full_name":"Katsaros, Georgios"}],"date_created":"2021-03-05T18:00:47Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"publisher":"Institute of Science and Technology Austria","type":"research_data","month":"03","year":"2020","ddc":["530"]},{"has_accepted_license":"1","publication_status":"published","title":"Digital objects in rhombic dodecahedron grid","corr_author":"1","publication":"Mathematical Morphology - Theory and Applications","abstract":[{"lang":"eng","text":"Rhombic dodecahedron is a space filling polyhedron which represents the close packing of spheres in 3D space and the Voronoi structures of the face centered cubic (FCC) lattice. In this paper, we describe a new coordinate system where every 3-integer coordinates grid point corresponds to a rhombic dodecahedron centroid. In order to illustrate the interest of the new coordinate system, we propose the characterization of 3D digital plane with its topological features, such as the interrelation between the thickness of the digital plane and the separability constraint we aim to obtain. We also present the characterization of 3D digital lines and study it as the intersection of multiple digital planes. Characterization of 3D digital sphere with relevant topological features is proposed as well along with the 48-symmetry appearing in the new coordinate system."}],"intvolume":" 4","ec_funded":1,"quality_controlled":"1","day":"17","page":"143-158","citation":{"mla":"Biswas, Ranita, et al. “Digital Objects in Rhombic Dodecahedron Grid.” Mathematical Morphology - Theory and Applications, vol. 4, no. 1, De Gruyter, 2020, pp. 143–58, doi:10.1515/mathm-2020-0106.","ieee":"R. Biswas, G. Largeteau-Skapin, R. Zrour, and E. Andres, “Digital objects in rhombic dodecahedron grid,” Mathematical Morphology - Theory and Applications, vol. 4, no. 1. De Gruyter, pp. 143–158, 2020.","ama":"Biswas R, Largeteau-Skapin G, Zrour R, Andres E. Digital objects in rhombic dodecahedron grid. Mathematical Morphology - Theory and Applications. 2020;4(1):143-158. doi:10.1515/mathm-2020-0106","apa":"Biswas, R., Largeteau-Skapin, G., Zrour, R., & Andres, E. (2020). Digital objects in rhombic dodecahedron grid. Mathematical Morphology - Theory and Applications. De Gruyter. https://doi.org/10.1515/mathm-2020-0106","chicago":"Biswas, Ranita, Gaëlle Largeteau-Skapin, Rita Zrour, and Eric Andres. “Digital Objects in Rhombic Dodecahedron Grid.” Mathematical Morphology - Theory and Applications. De Gruyter, 2020. https://doi.org/10.1515/mathm-2020-0106.","ista":"Biswas R, Largeteau-Skapin G, Zrour R, Andres E. 2020. Digital objects in rhombic dodecahedron grid. Mathematical Morphology - Theory and Applications. 4(1), 143–158.","short":"R. Biswas, G. Largeteau-Skapin, R. Zrour, E. Andres, Mathematical Morphology - Theory and Applications 4 (2020) 143–158."},"article_processing_charge":"No","author":[{"full_name":"Biswas, Ranita","orcid":"0000-0002-5372-7890","id":"3C2B033E-F248-11E8-B48F-1D18A9856A87","first_name":"Ranita","last_name":"Biswas"},{"full_name":"Largeteau-Skapin, Gaëlle","first_name":"Gaëlle","last_name":"Largeteau-Skapin"},{"full_name":"Zrour, Rita","last_name":"Zrour","first_name":"Rita"},{"first_name":"Eric","last_name":"Andres","full_name":"Andres, Eric"}],"project":[{"grant_number":"788183","call_identifier":"H2020","name":"Alpha Shape Theory Extended","_id":"266A2E9E-B435-11E9-9278-68D0E5697425"},{"_id":"2561EBF4-B435-11E9-9278-68D0E5697425","name":"Persistence and stability of geometric complexes","call_identifier":"FWF","grant_number":"I02979-N35"}],"language":[{"iso":"eng"}],"acknowledgement":"This work has been partially supported by the European Research Council (ERC) under\r\nthe European Union’s Horizon 2020 research and innovation programme, grant no. 788183, and the DFG Collaborative Research Center TRR 109, ‘Discretization in Geometry and Dynamics’, Austrian Science Fund (FWF), grant no. I 02979-N35. ","oa":1,"publication_identifier":{"issn":["2353-3390"]},"volume":4,"month":"11","_id":"9249","file":[{"success":1,"content_type":"application/pdf","date_created":"2021-03-22T08:56:37Z","relation":"main_file","file_id":"9272","file_name":"2020_MathMorpholTheoryAppl_Biswas.pdf","file_size":3668725,"creator":"dernst","date_updated":"2021-03-22T08:56:37Z","access_level":"open_access","checksum":"4a1043fa0548a725d464017fe2483ce0"}],"file_date_updated":"2021-03-22T08:56:37Z","oa_version":"Published Version","doi":"10.1515/mathm-2020-0106","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_updated":"2025-04-14T07:48:35Z","department":[{"_id":"HeEd"}],"status":"public","date_published":"2020-11-17T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2021-03-16T08:55:19Z","type":"journal_article","article_type":"original","publisher":"De Gruyter","year":"2020","ddc":["510"],"issue":"1"},{"author":[{"last_name":"Pach","first_name":"János","id":"E62E3130-B088-11EA-B919-BF823C25FEA4","full_name":"Pach, János"},{"last_name":"Tardos","first_name":"Gábor","full_name":"Tardos, Gábor"},{"first_name":"Géza","last_name":"Tóth","full_name":"Tóth, Géza"}],"language":[{"iso":"eng"}],"project":[{"grant_number":"Z00342","call_identifier":"FWF","name":"Mathematics, Computer Science","_id":"268116B8-B435-11E9-9278-68D0E5697425"}],"page":"359-371","article_processing_charge":"No","citation":{"short":"J. Pach, G. Tardos, G. Tóth, in:, 28th International Symposium on Graph Drawing and Network Visualization, Springer Nature, 2020, pp. 359–371.","ista":"Pach J, Tardos G, Tóth G. 2020. Crossings between non-homotopic edges. 28th International Symposium on Graph Drawing and Network Visualization. GD: Graph Drawing and Network VisualizationLNCS vol. 12590, 359–371.","chicago":"Pach, János, Gábor Tardos, and Géza Tóth. “Crossings between Non-Homotopic Edges.” In 28th International Symposium on Graph Drawing and Network Visualization, 12590:359–71. LNCS. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-68766-3_28.","ama":"Pach J, Tardos G, Tóth G. Crossings between non-homotopic edges. In: 28th International Symposium on Graph Drawing and Network Visualization. Vol 12590. LNCS. Springer Nature; 2020:359-371. doi:10.1007/978-3-030-68766-3_28","apa":"Pach, J., Tardos, G., & Tóth, G. (2020). Crossings between non-homotopic edges. In 28th International Symposium on Graph Drawing and Network Visualization (Vol. 12590, pp. 359–371). Virtual, Online: Springer Nature. https://doi.org/10.1007/978-3-030-68766-3_28","ieee":"J. Pach, G. Tardos, and G. Tóth, “Crossings between non-homotopic edges,” in 28th International Symposium on Graph Drawing and Network Visualization, Virtual, Online, 2020, vol. 12590, pp. 359–371.","mla":"Pach, János, et al. “Crossings between Non-Homotopic Edges.” 28th International Symposium on Graph Drawing and Network Visualization, vol. 12590, Springer Nature, 2020, pp. 359–71, doi:10.1007/978-3-030-68766-3_28."},"oa":1,"arxiv":1,"acknowledgement":"Supported by the National Research, Development and Innovation Office, NKFIH, KKP-133864, K-131529, K-116769, K-132696, by the Higher Educational Institutional Excellence Program 2019 NKFIH-1158-6/2019, the Austrian Science Fund (FWF), grant Z 342-N31, by the Ministry of Education and Science of the Russian Federation MegaGrant No. 075-15-2019-1926, and by the ERC Synergy Grant “Dynasnet” No. 810115. A full version can be found at https://arxiv.org/abs/2006.14908.","series_title":"LNCS","publication_identifier":{"eissn":["1611-3349"],"issn":["0302-9743"],"isbn":["9783030687656"]},"volume":12590,"month":"09","scopus_import":"1","publication":"28th International Symposium on Graph Drawing and Network Visualization","abstract":[{"lang":"eng","text":"We call a multigraph non-homotopic if it can be drawn in the plane in such a way that no two edges connecting the same pair of vertices can be continuously transformed into each other without passing through a vertex, and no loop can be shrunk to its end-vertex in the same way. It is easy to see that a non-homotopic multigraph on n>1 vertices can have arbitrarily many edges. We prove that the number of crossings between the edges of a non-homotopic multigraph with n vertices and m>4n edges is larger than cm2n for some constant c>0 , and that this bound is tight up to a polylogarithmic factor. We also show that the lower bound is not asymptotically sharp as n is fixed and m⟶∞ ."}],"intvolume":" 12590","publication_status":"published","title":"Crossings between non-homotopic edges","day":"20","quality_controlled":"1","main_file_link":[{"url":"https://arxiv.org/abs/2006.14908","open_access":"1"}],"status":"public","date_published":"2020-09-20T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2021-03-28T22:01:44Z","type":"conference","publisher":"Springer Nature","year":"2020","conference":{"start_date":"2020-09-16","name":"GD: Graph Drawing and Network Visualization","location":"Virtual, Online","end_date":"2020-09-18"},"oa_version":"Preprint","_id":"9299","doi":"10.1007/978-3-030-68766-3_28","external_id":{"arxiv":["2006.14908"]},"date_updated":"2025-04-15T07:16:52Z","department":[{"_id":"HeEd"}]},{"doi":"10.1070/RM9943","_id":"9308","oa_version":"Preprint","department":[{"_id":"UlWa"}],"date_updated":"2025-07-02T10:54:51Z","related_material":{"record":[{"status":"public","id":"10220","relation":"later_version"},{"status":"public","relation":"earlier_version","id":"8183"}]},"external_id":{"arxiv":["1511.03501"],"isi":["000625983100001"]},"date_created":"2021-04-04T22:01:22Z","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","date_published":"2020-12-01T00:00:00Z","status":"public","year":"2020","issue":"6","publisher":"IOP Publishing","type":"journal_article","article_type":"original","publication_status":"published","title":"Eliminating higher-multiplicity intersections, III. Codimension 2","intvolume":" 75","publication":"Russian Mathematical Surveys","main_file_link":[{"url":"https://arxiv.org/abs/1511.03501","open_access":"1"}],"quality_controlled":"1","day":"01","acknowledgement":"This research was carried out with the support of the Russian Foundation for Basic Research(grant no. 19-01-00169)","arxiv":1,"oa":1,"citation":{"short":"S. Avvakumov, U. Wagner, I. Mabillard, A.B. Skopenkov, Russian Mathematical Surveys 75 (2020) 1156–1158.","chicago":"Avvakumov, Sergey, Uli Wagner, Isaac Mabillard, and A. B. Skopenkov. “Eliminating Higher-Multiplicity Intersections, III. Codimension 2.” Russian Mathematical Surveys. IOP Publishing, 2020. https://doi.org/10.1070/RM9943.","ista":"Avvakumov S, Wagner U, Mabillard I, Skopenkov AB. 2020. Eliminating higher-multiplicity intersections, III. Codimension 2. Russian Mathematical Surveys. 75(6), 1156–1158.","ama":"Avvakumov S, Wagner U, Mabillard I, Skopenkov AB. Eliminating higher-multiplicity intersections, III. Codimension 2. Russian Mathematical Surveys. 2020;75(6):1156-1158. doi:10.1070/RM9943","apa":"Avvakumov, S., Wagner, U., Mabillard, I., & Skopenkov, A. B. (2020). Eliminating higher-multiplicity intersections, III. Codimension 2. Russian Mathematical Surveys. IOP Publishing. https://doi.org/10.1070/RM9943","ieee":"S. Avvakumov, U. Wagner, I. Mabillard, and A. B. Skopenkov, “Eliminating higher-multiplicity intersections, III. Codimension 2,” Russian Mathematical Surveys, vol. 75, no. 6. IOP Publishing, pp. 1156–1158, 2020.","mla":"Avvakumov, Sergey, et al. “Eliminating Higher-Multiplicity Intersections, III. Codimension 2.” Russian Mathematical Surveys, vol. 75, no. 6, IOP Publishing, 2020, pp. 1156–58, doi:10.1070/RM9943."},"article_processing_charge":"No","isi":1,"page":"1156-1158","language":[{"iso":"eng"}],"author":[{"id":"3827DAC8-F248-11E8-B48F-1D18A9856A87","first_name":"Sergey","last_name":"Avvakumov","full_name":"Avvakumov, Sergey","orcid":"0000-0002-7840-5062"},{"orcid":"0000-0002-1494-0568","full_name":"Wagner, Uli","last_name":"Wagner","first_name":"Uli","id":"36690CA2-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Mabillard","id":"32BF9DAA-F248-11E8-B48F-1D18A9856A87","first_name":"Isaac","full_name":"Mabillard, Isaac"},{"last_name":"Skopenkov","first_name":"A. B.","full_name":"Skopenkov, A. B."}],"scopus_import":"1","month":"12","volume":75,"publication_identifier":{"issn":["0036-0279"]}},{"author":[{"first_name":"Chitrak","last_name":"Gupta","full_name":"Gupta, Chitrak"},{"last_name":"Khaniya","first_name":"Umesh","full_name":"Khaniya, Umesh"},{"last_name":"Chan","first_name":"Chun","full_name":"Chan, Chun"},{"full_name":"Dehez, Francois","last_name":"Dehez","first_name":"Francois"},{"last_name":"Shekhar","first_name":"Mrinal","full_name":"Shekhar, Mrinal"},{"first_name":"M. R.","last_name":"Gunner","full_name":"Gunner, M. R."},{"first_name":"Leonid A","id":"338D39FE-F248-11E8-B48F-1D18A9856A87","last_name":"Sazanov","full_name":"Sazanov, Leonid A","orcid":"0000-0002-0977-7989"},{"full_name":"Chipot, Christophe","last_name":"Chipot","first_name":"Christophe"},{"last_name":"Singharoy","first_name":"Abhishek","full_name":"Singharoy, Abhishek"}],"status":"public","article_processing_charge":"No","date_published":"2020-05-20T00:00:00Z","citation":{"chicago":"Gupta, Chitrak, Umesh Khaniya, Chun Chan, Francois Dehez, Mrinal Shekhar, M. R. Gunner, Leonid A Sazanov, Christophe Chipot, and Abhishek Singharoy. “Charge Transfer and Chemo-Mechanical Coupling in Respiratory Complex I.” American Chemical Society, 2020. https://doi.org/10.1021/jacs.9b13450.s002.","ista":"Gupta C, Khaniya U, Chan C, Dehez F, Shekhar M, Gunner MR, Sazanov LA, Chipot C, Singharoy A. 2020. Charge transfer and chemo-mechanical coupling in respiratory complex I, American Chemical Society, 10.1021/jacs.9b13450.s002.","apa":"Gupta, C., Khaniya, U., Chan, C., Dehez, F., Shekhar, M., Gunner, M. R., … Singharoy, A. (2020). Charge transfer and chemo-mechanical coupling in respiratory complex I. American Chemical Society. https://doi.org/10.1021/jacs.9b13450.s002","ama":"Gupta C, Khaniya U, Chan C, et al. Charge transfer and chemo-mechanical coupling in respiratory complex I. 2020. doi:10.1021/jacs.9b13450.s002","short":"C. Gupta, U. Khaniya, C. Chan, F. Dehez, M. Shekhar, M.R. Gunner, L.A. Sazanov, C. Chipot, A. Singharoy, (2020).","ieee":"C. Gupta et al., “Charge transfer and chemo-mechanical coupling in respiratory complex I.” American Chemical Society, 2020.","mla":"Gupta, Chitrak, et al. Charge Transfer and Chemo-Mechanical Coupling in Respiratory Complex I. American Chemical Society, 2020, doi:10.1021/jacs.9b13450.s002."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2021-04-14T12:05:20Z","type":"research_data_reference","publisher":"American Chemical Society","year":"2020","month":"05","oa_version":"Published Version","abstract":[{"lang":"eng","text":"The mitochondrial respiratory chain, formed by five protein complexes, utilizes energy from catabolic processes to synthesize ATP. Complex I, the first and the largest protein complex of the chain, harvests electrons from NADH to reduce quinone, while pumping protons across the mitochondrial membrane. Detailed knowledge of the working principle of such coupled charge-transfer processes remains, however, fragmentary due to bottlenecks in understanding redox-driven conformational transitions and their interplay with the hydrated proton pathways. Complex I from Thermus thermophilus encases 16 subunits with nine iron–sulfur clusters, reduced by electrons from NADH. Here, employing the latest crystal structure of T. thermophilus complex I, we have used microsecond-scale molecular dynamics simulations to study the chemo-mechanical coupling between redox changes of the iron–sulfur clusters and conformational transitions across complex I. First, we identify the redox switches within complex I, which allosterically couple the dynamics of the quinone binding pocket to the site of NADH reduction. Second, our free-energy calculations reveal that the affinity of the quinone, specifically menaquinone, for the binding-site is higher than that of its reduced, menaquinol forma design essential for menaquinol release. Remarkably, the barriers to diffusive menaquinone dynamics are lesser than that of the more ubiquitous ubiquinone, and the naphthoquinone headgroup of the former furnishes stronger binding interactions with the pocket, favoring menaquinone for charge transport in T. thermophilus. Our computations are consistent with experimentally validated mutations and hierarchize the key residues into three functional classes, identifying new mutation targets. Third, long-range hydrogen-bond networks connecting the quinone-binding site to the transmembrane subunits are found to be responsible for proton pumping. Put together, the simulations reveal the molecular design principles linking redox reactions to quinone turnover to proton translocation in complex I."}],"title":"Charge transfer and chemo-mechanical coupling in respiratory complex I","_id":"9326","doi":"10.1021/jacs.9b13450.s002","tmp":{"name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)"},"day":"20","related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"8040"}]},"date_updated":"2025-07-10T11:55:01Z","department":[{"_id":"LeSa"}]},{"OA_type":"hybrid","intvolume":" 77","abstract":[{"text":"DNA methylation and histone H1 mediate transcriptional silencing of genes and transposable elements, but how they interact is unclear. In plants and animals with mosaic genomic methylation, functionally mysterious methylation is also common within constitutively active housekeeping genes. Here, we show that H1 is enriched in methylated sequences, including genes, of Arabidopsis thaliana, yet this enrichment is independent of DNA methylation. Loss of H1 disperses heterochromatin, globally alters nucleosome organization, and activates H1-bound genes, but only weakly de-represses transposable elements. However, H1 loss strongly activates transposable elements hypomethylated through mutation of DNA methyltransferase MET1. Hypomethylation of genes also activates antisense transcription, which is modestly enhanced by H1 loss. Our results demonstrate that H1 and DNA methylation jointly maintain transcriptional homeostasis by silencing transposable elements and aberrant intragenic transcripts. Such functionality plausibly explains why DNA methylation, a well-known mutagen, has been maintained within coding sequences of crucial plant and animal genes.","lang":"eng"}],"OA_place":"publisher","publication":"Molecular Cell","title":"DNA methylation and histone H1 jointly repress transposable elements and aberrant intragenic transcripts","publication_status":"published","main_file_link":[{"url":"https://doi.org/10.1016/j.molcel.2019.10.011","open_access":"1"}],"day":"16","quality_controlled":"1","oa":1,"language":[{"iso":"eng"}],"author":[{"last_name":"Choi","first_name":"Jaemyung","full_name":"Choi, Jaemyung"},{"full_name":"Lyons, David B.","last_name":"Lyons","first_name":"David B."},{"full_name":"Kim, M. Yvonne","last_name":"Kim","first_name":"M. Yvonne"},{"first_name":"Jonathan D.","last_name":"Moore","full_name":"Moore, Jonathan D."},{"full_name":"Zilberman, Daniel","orcid":"0000-0002-0123-8649","first_name":"Daniel","id":"6973db13-dd5f-11ea-814e-b3e5455e9ed1","last_name":"Zilberman"}],"article_processing_charge":"No","citation":{"short":"J. Choi, D.B. Lyons, M.Y. Kim, J.D. Moore, D. Zilberman, Molecular Cell 77 (2020) 310–323.e7.","ista":"Choi J, Lyons DB, Kim MY, Moore JD, Zilberman D. 2020. DNA methylation and histone H1 jointly repress transposable elements and aberrant intragenic transcripts. Molecular Cell. 77(2), 310–323.e7.","chicago":"Choi, Jaemyung, David B. Lyons, M. Yvonne Kim, Jonathan D. Moore, and Daniel Zilberman. “DNA Methylation and Histone H1 Jointly Repress Transposable Elements and Aberrant Intragenic Transcripts.” Molecular Cell. Elsevier, 2020. https://doi.org/10.1016/j.molcel.2019.10.011.","apa":"Choi, J., Lyons, D. B., Kim, M. Y., Moore, J. D., & Zilberman, D. (2020). DNA methylation and histone H1 jointly repress transposable elements and aberrant intragenic transcripts. Molecular Cell. Elsevier. https://doi.org/10.1016/j.molcel.2019.10.011","ama":"Choi J, Lyons DB, Kim MY, Moore JD, Zilberman D. DNA methylation and histone H1 jointly repress transposable elements and aberrant intragenic transcripts. Molecular Cell. 2020;77(2):310-323.e7. doi:10.1016/j.molcel.2019.10.011","mla":"Choi, Jaemyung, et al. “DNA Methylation and Histone H1 Jointly Repress Transposable Elements and Aberrant Intragenic Transcripts.” Molecular Cell, vol. 77, no. 2, Elsevier, 2020, p. 310–323.e7, doi:10.1016/j.molcel.2019.10.011.","ieee":"J. Choi, D. B. Lyons, M. Y. Kim, J. D. Moore, and D. Zilberman, “DNA methylation and histone H1 jointly repress transposable elements and aberrant intragenic transcripts,” Molecular Cell, vol. 77, no. 2. Elsevier, p. 310–323.e7, 2020."},"page":"310-323.e7","scopus_import":"1","month":"01","volume":77,"publication_identifier":{"issn":["1097-2765"],"eissn":["1097-4164"]},"doi":"10.1016/j.molcel.2019.10.011","oa_version":"Published Version","_id":"9526","department":[{"_id":"DaZi"}],"external_id":{"pmid":["31732458"]},"extern":"1","date_updated":"2024-10-16T12:14:37Z","user_id":"0043cee0-e5fc-11ee-9736-f83bc23afbf0","date_created":"2021-06-08T06:37:09Z","date_published":"2020-01-16T00:00:00Z","status":"public","pmid":1,"issue":"2","year":"2020","publisher":"Elsevier","type":"journal_article","article_type":"original"},{"file_date_updated":"2021-08-11T11:55:11Z","oa_version":"Published Version","file":[{"checksum":"f02d0b2b3838e7891a6c417fc34ffdcd","date_updated":"2021-08-11T11:55:11Z","access_level":"open_access","creator":"asandaue","file_id":"9882","file_name":"2020_JournalOfComputationalGeometry_Edelsbrunner.pdf","file_size":1449234,"relation":"main_file","content_type":"application/pdf","success":1,"date_created":"2021-08-11T11:55:11Z"}],"_id":"9630","doi":"10.20382/jocg.v11i2a7","tmp":{"name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","image":"/images/cc_by.png","short":"CC BY (3.0)","legal_code_url":"https://creativecommons.org/licenses/by/3.0/legalcode"},"date_updated":"2026-04-02T14:35:31Z","department":[{"_id":"HeEd"}],"status":"public","date_published":"2020-12-14T00:00:00Z","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","date_created":"2021-07-04T22:01:26Z","article_type":"original","type":"journal_article","publisher":"Carleton University","ddc":["510","000"],"issue":"2","year":"2020","license":"https://creativecommons.org/licenses/by/3.0/","publication":"Journal of Computational Geometry","intvolume":" 11","abstract":[{"text":"Various kinds of data are routinely represented as discrete probability distributions. Examples include text documents summarized by histograms of word occurrences and images represented as histograms of oriented gradients. Viewing a discrete probability distribution as a point in the standard simplex of the appropriate dimension, we can understand collections of such objects in geometric and topological terms. Importantly, instead of using the standard Euclidean distance, we look into dissimilarity measures with information-theoretic justification, and we develop the theory needed for applying topological data analysis in this setting. In doing so, we emphasize constructions that enable the usage of existing computational topology software in this context.","lang":"eng"}],"has_accepted_license":"1","publication_status":"published","corr_author":"1","title":"Topological data analysis in information space","day":"14","quality_controlled":"1","author":[{"full_name":"Edelsbrunner, Herbert","orcid":"0000-0002-9823-6833","id":"3FB178DA-F248-11E8-B48F-1D18A9856A87","first_name":"Herbert","last_name":"Edelsbrunner"},{"last_name":"Virk","id":"2E36B656-F248-11E8-B48F-1D18A9856A87","first_name":"Ziga","full_name":"Virk, Ziga"},{"orcid":"0009-0009-9111-8429","full_name":"Wagner, Hubert","last_name":"Wagner","first_name":"Hubert","id":"379CA8B8-F248-11E8-B48F-1D18A9856A87"}],"language":[{"iso":"eng"}],"project":[{"name":"Persistent Homology, Algorithms and Stochastic Geometry","_id":"0aa4bc98-070f-11eb-9043-e6fff9c6a316","grant_number":"I4887"}],"page":"162-182","citation":{"short":"H. Edelsbrunner, Z. Virk, H. Wagner, Journal of Computational Geometry 11 (2020) 162–182.","ista":"Edelsbrunner H, Virk Z, Wagner H. 2020. Topological data analysis in information space. Journal of Computational Geometry. 11(2), 162–182.","chicago":"Edelsbrunner, Herbert, Ziga Virk, and Hubert Wagner. “Topological Data Analysis in Information Space.” Journal of Computational Geometry. Carleton University, 2020. https://doi.org/10.20382/jocg.v11i2a7.","apa":"Edelsbrunner, H., Virk, Z., & Wagner, H. (2020). Topological data analysis in information space. Journal of Computational Geometry. Carleton University. https://doi.org/10.20382/jocg.v11i2a7","ama":"Edelsbrunner H, Virk Z, Wagner H. Topological data analysis in information space. Journal of Computational Geometry. 2020;11(2):162-182. doi:10.20382/jocg.v11i2a7","ieee":"H. Edelsbrunner, Z. Virk, and H. Wagner, “Topological data analysis in information space,” Journal of Computational Geometry, vol. 11, no. 2. Carleton University, pp. 162–182, 2020.","mla":"Edelsbrunner, Herbert, et al. “Topological Data Analysis in Information Space.” Journal of Computational Geometry, vol. 11, no. 2, Carleton University, 2020, pp. 162–82, doi:10.20382/jocg.v11i2a7."},"article_processing_charge":"Yes","oa":1,"acknowledgement":"This research is partially supported by the Office of Naval Research, through grant no. N62909-18-1-2038, and the DFG Collaborative Research Center TRR 109, ‘Discretization in Geometry and Dynamics’, through grant no. I02979-N35 of the Austrian Science Fund (FWF).","publication_identifier":{"eissn":["1920-180X"]},"volume":11,"month":"12","scopus_import":"1"},{"abstract":[{"text":"The ability to leverage large-scale hardware parallelism has been one of the key enablers of the accelerated recent progress in machine learning. Consequently, there has been considerable effort invested into developing efficient parallel variants of classic machine learning algorithms. However, despite the wealth of knowledge on parallelization, some classic machine learning algorithms often prove hard to parallelize efficiently while maintaining convergence. In this paper, we focus on efficient parallel algorithms for the key machine learning task of inference on graphical models, in particular on the fundamental belief propagation algorithm. We address the challenge of efficiently parallelizing this classic paradigm by showing how to leverage scalable relaxed schedulers in this context. We present an extensive empirical study, showing that our approach outperforms previous parallel belief propagation implementations both in terms of scalability and in terms of wall-clock convergence time, on a range of practical applications.","lang":"eng"}],"intvolume":" 33","title":"Scalable belief propagation via relaxed scheduling","publication_status":"published","corr_author":"1","ec_funded":1,"day":"06","quality_controlled":"1","main_file_link":[{"open_access":"1","url":"https://proceedings.neurips.cc/paper/2020/hash/fdb2c3bab9d0701c4a050a4d8d782c7f-Abstract.html"}],"project":[{"grant_number":"805223","_id":"268A44D6-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Elastic Coordination for Scalable Machine Learning"}],"language":[{"iso":"eng"}],"author":[{"first_name":"Vitaly","last_name":"Aksenov","full_name":"Aksenov, Vitaly"},{"last_name":"Alistarh","first_name":"Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X","full_name":"Alistarh, Dan-Adrian"},{"last_name":"Korhonen","first_name":"Janne","id":"C5402D42-15BC-11E9-A202-CA2BE6697425","full_name":"Korhonen, Janne"}],"article_processing_charge":"No","citation":{"ieee":"V. Aksenov, D.-A. Alistarh, and J. Korhonen, “Scalable belief propagation via relaxed scheduling,” presented at the NeurIPS: Conference on Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 22361–22372.","mla":"Aksenov, Vitaly, et al. Scalable Belief Propagation via Relaxed Scheduling. Vol. 33, Neural Information Processing Systems Foundation, 2020, pp. 22361–72.","apa":"Aksenov, V., Alistarh, D.-A., & Korhonen, J. (2020). Scalable belief propagation via relaxed scheduling (Vol. 33, pp. 22361–22372). Presented at the NeurIPS: Conference on Neural Information Processing Systems, Vancouver, Canada: Neural Information Processing Systems Foundation.","ama":"Aksenov V, Alistarh D-A, Korhonen J. Scalable belief propagation via relaxed scheduling. In: Vol 33. Neural Information Processing Systems Foundation; 2020:22361-22372.","chicago":"Aksenov, Vitaly, Dan-Adrian Alistarh, and Janne Korhonen. “Scalable Belief Propagation via Relaxed Scheduling,” 33:22361–72. Neural Information Processing Systems Foundation, 2020.","ista":"Aksenov V, Alistarh D-A, Korhonen J. 2020. Scalable belief propagation via relaxed scheduling. NeurIPS: Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 33, 22361–22372.","short":"V. Aksenov, D.-A. Alistarh, J. Korhonen, in:, Neural Information Processing Systems Foundation, 2020, pp. 22361–22372."},"page":"22361-22372","oa":1,"acknowledgement":"We thank Marco Mondelli for discussions related to LDPC decoding, and Giorgi Nadiradze for discussions on analysis of relaxed schedulers. This project has received funding from the European Research Council (ERC) under the European\r\nUnion’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML).","arxiv":1,"publication_identifier":{"issn":["1049-5258"],"isbn":["9781713829546"]},"scopus_import":"1","month":"12","volume":33,"oa_version":"Published Version","_id":"9631","alternative_title":["Advances in Neural Information Processing Systems"],"external_id":{"arxiv":["2002.11505"]},"date_updated":"2026-06-18T19:54:53Z","department":[{"_id":"DaAl"}],"date_published":"2020-12-06T00:00:00Z","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2021-07-04T22:01:26Z","publisher":"Neural Information Processing Systems Foundation","type":"conference","ddc":["000"],"year":"2020","conference":{"start_date":"2020-12-06","name":"NeurIPS: Conference on Neural Information Processing Systems","end_date":"2020-12-12","location":"Vancouver, Canada"}},{"_id":"9632","alternative_title":["Advances in Neural Information Processing Systems"],"oa_version":"Published Version","date_updated":"2026-06-18T19:55:12Z","external_id":{"arxiv":["2004.14340"]},"department":[{"_id":"DaAl"},{"_id":"ToHe"}],"date_published":"2020-12-06T00:00:00Z","status":"public","date_created":"2021-07-04T22:01:26Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Neural Information Processing Systems Foundation","type":"conference","year":"2020","conference":{"location":"Vancouver, Canada","end_date":"2020-12-12","start_date":"2020-12-06","name":"NeurIPS: Conference on Neural Information Processing Systems"},"ddc":["000"],"title":"WoodFisher: Efficient second-order approximation for neural network compression","corr_author":"1","publication_status":"published","intvolume":" 33","abstract":[{"text":"Second-order information, in the form of Hessian- or Inverse-Hessian-vector products, is a fundamental tool for solving optimization problems. Recently, there has been significant interest in utilizing this information in the context of deep\r\nneural networks; however, relatively little is known about the quality of existing approximations in this context. Our work examines this question, identifies issues with existing approaches, and proposes a method called WoodFisher to compute a faithful and efficient estimate of the inverse Hessian. Our main application is to neural network compression, where we build on the classic Optimal Brain Damage/Surgeon framework. We demonstrate that WoodFisher significantly outperforms popular state-of-the-art methods for oneshot pruning. Further, even when iterative, gradual pruning is allowed, our method results in a gain in test accuracy over the state-of-the-art approaches, for standard image classification datasets such as ImageNet ILSVRC. We examine how our method can be extended to take into account first-order information, as well as\r\nillustrate its ability to automatically set layer-wise pruning thresholds and perform compression in the limited-data regime. The code is available at the following link, https://github.com/IST-DASLab/WoodFisher.","lang":"eng"}],"ec_funded":1,"quality_controlled":"1","day":"06","main_file_link":[{"url":"https://proceedings.neurips.cc/paper/2020/hash/d1ff1ec86b62cd5f3903ff19c3a326b2-Abstract.html","open_access":"1"}],"citation":{"ama":"Singh SP, Alistarh D-A. WoodFisher: Efficient second-order approximation for neural network compression. In: Vol 33. Neural Information Processing Systems Foundation; 2020:18098-18109.","apa":"Singh, S. P., & Alistarh, D.-A. (2020). WoodFisher: Efficient second-order approximation for neural network compression (Vol. 33, pp. 18098–18109). Presented at the NeurIPS: Conference on Neural Information Processing Systems, Vancouver, Canada: Neural Information Processing Systems Foundation.","ista":"Singh SP, Alistarh D-A. 2020. WoodFisher: Efficient second-order approximation for neural network compression. NeurIPS: Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 33, 18098–18109.","chicago":"Singh, Sidak Pal, and Dan-Adrian Alistarh. “WoodFisher: Efficient Second-Order Approximation for Neural Network Compression,” 33:18098–109. Neural Information Processing Systems Foundation, 2020.","short":"S.P. Singh, D.-A. Alistarh, in:, Neural Information Processing Systems Foundation, 2020, pp. 18098–18109.","mla":"Singh, Sidak Pal, and Dan-Adrian Alistarh. WoodFisher: Efficient Second-Order Approximation for Neural Network Compression. Vol. 33, Neural Information Processing Systems Foundation, 2020, pp. 18098–109.","ieee":"S. P. Singh and D.-A. Alistarh, “WoodFisher: Efficient second-order approximation for neural network compression,” presented at the NeurIPS: Conference on Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 18098–18109."},"article_processing_charge":"No","page":"18098-18109","project":[{"grant_number":"805223","name":"Elastic Coordination for Scalable Machine Learning","call_identifier":"H2020","_id":"268A44D6-B435-11E9-9278-68D0E5697425"}],"language":[{"iso":"eng"}],"author":[{"full_name":"Singh, Sidak Pal","last_name":"Singh","first_name":"Sidak Pal","id":"DD138E24-D89D-11E9-9DC0-DEF6E5697425"},{"full_name":"Alistarh, Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","first_name":"Dan-Adrian","last_name":"Alistarh"}],"acknowledgement":"This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). Also, we would like to thank Alexander Shevchenko, Alexandra Peste, and other members of the group for fruitful discussions.","arxiv":1,"oa":1,"publication_identifier":{"issn":["1049-5258"],"isbn":["9781713829546"]},"month":"12","scopus_import":"1","volume":33},{"main_file_link":[{"open_access":"1","url":"https://doi.org/10.6084/m9.figshare.12629697.v1"}],"department":[{"_id":"MaRo"}],"related_material":{"record":[{"status":"public","id":"8133","relation":"used_in_publication"}]},"date_updated":"2026-04-02T14:28:32Z","day":"09","other_data_license":"CC0 + CC BY (4.0)","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"doi":"10.6084/m9.figshare.12629697.v1","_id":"9706","title":"Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults","has_accepted_license":"1","oa_version":"Published Version","abstract":[{"text":"Additional file 2: Supplementary Tables. The association of pre-adjusted protein levels with biological and technical covariates. Protein levels were adjusted for age, sex, array plate and four genetic principal components (population structure) prior to analyses. Significant associations are emboldened. (Table S1). pQTLs associated with inflammatory biomarker levels from Bayesian penalised regression model (Posterior Inclusion Probability > 95%). (Table S2). All pQTLs associated with inflammatory biomarker levels from ordinary least squares regression model (P < 7.14 × 10− 10). (Table S3). Summary of lambda values relating to ordinary least squares GWAS and EWAS performed on inflammatory protein levels (n = 70) in Lothian Birth Cohort 1936 study. (Table S4). Conditionally significant pQTLs associated with inflammatory biomarker levels from ordinary least squares regression model (P < 7.14 × 10− 10). (Table S5). Comparison of variance explained by ordinary least squares and Bayesian penalised regression models for concordantly identified SNPs. (Table S6). Estimate of heritability for blood protein levels as well as proportion of variance explained attributable to different prior mixtures. (Table S7). Comparison of heritability estimates from Ahsan et al. (maximum likelihood) and Hillary et al. (Bayesian penalised regression). (Table S8). List of concordant SNPs identified by linear model and Bayesian penalised regression and whether they have been previously identified as eQTLs. (Table S9). Bayesian tests of colocalisation for cis pQTLs and cis eQTLs. (Table S10). Sherlock algorithm: Genes whose expression are putatively associated with circulating inflammatory proteins that harbour pQTLs. (Table S11). CpGs associated with inflammatory protein biomarkers as identified by Bayesian model (Bayesian model; Posterior Inclusion Probability > 95%). (Table S12). CpGs associated with inflammatory protein biomarkers as identified by linear model (limma) at P < 5.14 × 10− 10. (Table S13). CpGs associated with inflammatory protein biomarkers as identified by mixed linear model (OSCA) at P < 5.14 × 10− 10. (Table S14). Estimate of variance explained for blood protein levels by DNA methylation as well as proportion of explained attributable to different prior mixtures - BayesR+. (Table S15). Comparison of variance in protein levels explained by genome-wide DNA methylation data by mixed linear model (OSCA) and Bayesian penalised regression model (BayesR+). (Table S16). Variance in circulating inflammatory protein biomarker levels explained by common genetic and methylation data (joint and conditional estimates from BayesR+). Ordered by combined variance explained by genetic and epigenetic data - smallest to largest. Significant results from t-tests comparing distributions for variance explained by methylation or genetics alone versus combined estimate are emboldened. (Table S17). Genetic and epigenetic factors identified by BayesR+ when conditioning on all SNPs and CpGs together. (Table S18). Mendelian Randomisation analyses to assess whether proteins with concordantly identified genetic signals are causally associated with Alzheimer’s disease risk. (Table S19).","lang":"eng"}],"month":"07","year":"2020","publisher":"Springer Nature","type":"research_data_reference","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","date_created":"2021-07-23T08:59:15Z","oa":1,"article_processing_charge":"No","citation":{"mla":"Hillary, Robert F., et al. Additional File 2 of Multi-Method Genome- and Epigenome-Wide Studies of Inflammatory Protein Levels in Healthy Older Adults. Springer Nature, 2020, doi:10.6084/m9.figshare.12629697.v1.","ieee":"R. F. Hillary et al., “Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults.” Springer Nature, 2020.","ama":"Hillary RF, Trejo-Banos D, Kousathanas A, et al. Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. 2020. doi:10.6084/m9.figshare.12629697.v1","apa":"Hillary, R. F., Trejo-Banos, D., Kousathanas, A., McCartney, D. L., Harris, S. E., Stevenson, A. J., … Marioni, R. E. (2020). Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. Springer Nature. https://doi.org/10.6084/m9.figshare.12629697.v1","chicago":"Hillary, Robert F., Daniel Trejo-Banos, Athanasios Kousathanas, Daniel L. McCartney, Sarah E. Harris, Anna J. Stevenson, Marion Patxot, et al. “Additional File 2 of Multi-Method Genome- and Epigenome-Wide Studies of Inflammatory Protein Levels in Healthy Older Adults.” Springer Nature, 2020. https://doi.org/10.6084/m9.figshare.12629697.v1.","ista":"Hillary RF, Trejo-Banos D, Kousathanas A, McCartney DL, Harris SE, Stevenson AJ, Patxot M, Ojavee SE, Zhang Q, Liewald DC, Ritchie CW, Evans KL, Tucker-Drob EM, Wray NR, McRae AF, Visscher PM, Deary IJ, Robinson MR, Marioni RE. 2020. Additional file 2 of multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults, Springer Nature, 10.6084/m9.figshare.12629697.v1.","short":"R.F. Hillary, D. Trejo-Banos, A. Kousathanas, D.L. McCartney, S.E. Harris, A.J. Stevenson, M. Patxot, S.E. Ojavee, Q. Zhang, D.C. Liewald, C.W. Ritchie, K.L. Evans, E.M. Tucker-Drob, N.R. Wray, A.F. McRae, P.M. Visscher, I.J. Deary, M.R. Robinson, R.E. Marioni, (2020)."},"date_published":"2020-07-09T00:00:00Z","status":"public","author":[{"full_name":"Hillary, Robert F.","first_name":"Robert F.","last_name":"Hillary"},{"last_name":"Trejo-Banos","first_name":"Daniel","full_name":"Trejo-Banos, Daniel"},{"first_name":"Athanasios","last_name":"Kousathanas","full_name":"Kousathanas, Athanasios"},{"first_name":"Daniel L.","last_name":"McCartney","full_name":"McCartney, Daniel L."},{"full_name":"Harris, Sarah E.","last_name":"Harris","first_name":"Sarah E."},{"full_name":"Stevenson, Anna J.","last_name":"Stevenson","first_name":"Anna J."},{"full_name":"Patxot, Marion","last_name":"Patxot","first_name":"Marion"},{"full_name":"Ojavee, Sven Erik","last_name":"Ojavee","first_name":"Sven Erik"},{"full_name":"Zhang, Qian","last_name":"Zhang","first_name":"Qian"},{"full_name":"Liewald, David C.","last_name":"Liewald","first_name":"David C."},{"full_name":"Ritchie, Craig W.","first_name":"Craig W.","last_name":"Ritchie"},{"full_name":"Evans, Kathryn L.","last_name":"Evans","first_name":"Kathryn L."},{"full_name":"Tucker-Drob, Elliot M.","first_name":"Elliot M.","last_name":"Tucker-Drob"},{"full_name":"Wray, Naomi R.","last_name":"Wray","first_name":"Naomi R."},{"full_name":"McRae, Allan F. ","last_name":"McRae","first_name":"Allan F. "},{"full_name":"Visscher, Peter M.","first_name":"Peter M.","last_name":"Visscher"},{"full_name":"Deary, Ian J.","last_name":"Deary","first_name":"Ian J."},{"full_name":"Robinson, Matthew Richard","orcid":"0000-0001-8982-8813","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","first_name":"Matthew Richard","last_name":"Robinson"},{"last_name":"Marioni","first_name":"Riccardo E. ","full_name":"Marioni, Riccardo E. 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A Readme file for plotting each figure is provided.","lang":"eng"}],"tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"doi":"10.17863/cam.50169","publisher":"Apollo - University of Cambridge","type":"research_data_reference","month":"05","year":"2020","citation":{"chicago":"Hartstein, Mate, Yu-Te Hsu, Kimberly A Modic, Juan Porras, Toshinao Loew, Matthieu Le Tacon, Huakun Zuo, et al. “Accompanying Dataset for ‘Hard Antinodal Gap Revealed by Quantum Oscillations in the Pseudogap Regime of Underdoped High-Tc Superconductors.’” Apollo - University of Cambridge, 2020. https://doi.org/10.17863/cam.50169.","ista":"Hartstein M, Hsu Y-T, Modic KA, Porras J, Loew T, Le Tacon M, Zuo H, Wang J, Zhu Z, Chan M, McDonald R, Lonzarich G, Keimer B, Sebastian S, Harrison N. 2020. 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Erdös, Random Matrices: Theory and Application 9 (2020).","mla":"Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of Linear Eigenvalue Statistics for Sample Covariance Matrices.” Random Matrices: Theory and Application, vol. 9, no. 3, 2050006, World Scientific Publishing, 2020, doi:10.1142/S2010326320500069.","ieee":"G. Cipolloni and L. Erdös, “Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices,” Random Matrices: Theory and Application, vol. 9, no. 3. World Scientific Publishing, 2020."},"isi":1,"oa":1,"arxiv":1,"external_id":{"isi":["000547464400001"],"arxiv":["1806.08751"]},"date_updated":"2025-07-10T11:53:26Z","department":[{"_id":"LaEr"}],"oa_version":"Preprint","article_number":"2050006","_id":"6488","doi":"10.1142/S2010326320500069","type":"journal_article","article_type":"original","publisher":"World Scientific Publishing","issue":"3","year":"2020","status":"public","date_published":"2020-07-01T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2019-05-26T21:59:14Z"}]