Samuel Pastva
9 Publications
2025 | Published | Journal Article | IST-REx-ID: 19796 | 
Trinh, V. G., Park, K. H., Pastva, S., & Rozum, J. C. (2025). Mapping the attractor landscape of Boolean networks with biobalm. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btaf280
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2025 | Published | Journal Article | IST-REx-ID: 19854 |
Pastva, S., Park, K. H., Huvar, O., Rozum, J. C., & Albert, R. (2025). An open problem: Why are motif-avoidant attractors so rare in asynchronous Boolean networks? Journal of Mathematical Biology. Springer Nature. https://doi.org/10.1007/s00285-025-02235-8
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2024 | Published | Conference Paper | IST-REx-ID: 15321 |
Trinh, G., Benhamou, B., Pastva, S., & Soliman, S. (2024). Scalable enumeration of trap spaces in boolean networks via answer set programming. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (Vol. 38, pp. 10714–10722). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v38i9.28943
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2024 | Published | Conference Paper | IST-REx-ID: 18177
Beneš, N., Brim, L., Huvar, O., Pastva, S., & Šafránek, D. (2024). BNClassifier: Classifying boolean models by dynamic properties. In Computational Methods in Systems Biology (Vol. 14971, pp. 19–26). Springer Nature. https://doi.org/10.1007/978-3-031-71671-3_2
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2024 | Research Data Reference | IST-REx-ID: 19800 |
trinh, V. G., Park, K. H., Pastva, S., & Rozum, J. (2024). Mapping the attractor landscape of Boolean networks. Zenodo. https://doi.org/10.5281/ZENODO.13854759
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2023 | Published | Conference Paper | IST-REx-ID: 14411 |
Beneš, N., Brim, L., Pastva, S., Šafránek, D., & Šmijáková, E. (2023). Phenotype control of partially specified boolean networks. In 21st International Conference on Computational Methods in Systems Biology (Vol. 14137, pp. 18–35). Luxembourg City, Luxembourg: Springer Nature. https://doi.org/10.1007/978-3-031-42697-1_2
[Submitted Version]
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2023 | Published | Journal Article | IST-REx-ID: 12876 |
Beneš, N., Brim, L., Huvar, O., Pastva, S., & Šafránek, D. (2023). Boolean network sketches: A unifying framework for logical model inference. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btad158
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| WoS
| PubMed | Europe PMC
2023 | Published | Journal Article | IST-REx-ID: 13263 |
Trinh, V. G., Benhamou, B., Henzinger, T. A., & Pastva, S. (2023). Trap spaces of multi-valued networks: Definition, computation, and applications. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btad262
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2023 | Published | Conference Paper | IST-REx-ID: 14718 |
Pastva, S., & Henzinger, T. A. (2023). Binary decision diagrams on modern hardware. In Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design (pp. 122–131). Ames, IA, United States: TU Vienna Academic Press. https://doi.org/10.34727/2023/isbn.978-3-85448-060-0_20
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Grants
9 Publications
2025 | Published | Journal Article | IST-REx-ID: 19796 |
Trinh, V. G., Park, K. H., Pastva, S., & Rozum, J. C. (2025). Mapping the attractor landscape of Boolean networks with biobalm. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btaf280
[Published Version]
View
| Files available
| DOI
| PubMed | Europe PMC
2025 | Published | Journal Article | IST-REx-ID: 19854 |
Pastva, S., Park, K. H., Huvar, O., Rozum, J. C., & Albert, R. (2025). An open problem: Why are motif-avoidant attractors so rare in asynchronous Boolean networks? Journal of Mathematical Biology. Springer Nature. https://doi.org/10.1007/s00285-025-02235-8
[Published Version]
View
| Files available
| DOI
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 15321 |
Trinh, G., Benhamou, B., Pastva, S., & Soliman, S. (2024). Scalable enumeration of trap spaces in boolean networks via answer set programming. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (Vol. 38, pp. 10714–10722). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v38i9.28943
[Published Version]
View
| DOI
| Download Published Version (ext.)
2024 | Published | Conference Paper | IST-REx-ID: 18177
Beneš, N., Brim, L., Huvar, O., Pastva, S., & Šafránek, D. (2024). BNClassifier: Classifying boolean models by dynamic properties. In Computational Methods in Systems Biology (Vol. 14971, pp. 19–26). Springer Nature. https://doi.org/10.1007/978-3-031-71671-3_2
View
| DOI
2024 | Research Data Reference | IST-REx-ID: 19800 |
trinh, V. G., Park, K. H., Pastva, S., & Rozum, J. (2024). Mapping the attractor landscape of Boolean networks. Zenodo. https://doi.org/10.5281/ZENODO.13854759
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)
2023 | Published | Conference Paper | IST-REx-ID: 14411 |
Beneš, N., Brim, L., Pastva, S., Šafránek, D., & Šmijáková, E. (2023). Phenotype control of partially specified boolean networks. In 21st International Conference on Computational Methods in Systems Biology (Vol. 14137, pp. 18–35). Luxembourg City, Luxembourg: Springer Nature. https://doi.org/10.1007/978-3-031-42697-1_2
[Submitted Version]
View
| Files available
| DOI
2023 | Published | Journal Article | IST-REx-ID: 12876 |
Beneš, N., Brim, L., Huvar, O., Pastva, S., & Šafránek, D. (2023). Boolean network sketches: A unifying framework for logical model inference. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btad158
[Published Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
2023 | Published | Journal Article | IST-REx-ID: 13263 |
Trinh, V. G., Benhamou, B., Henzinger, T. A., & Pastva, S. (2023). Trap spaces of multi-valued networks: Definition, computation, and applications. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btad262
[Published Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
2023 | Published | Conference Paper | IST-REx-ID: 14718 |
Pastva, S., & Henzinger, T. A. (2023). Binary decision diagrams on modern hardware. In Proceedings of the 23rd Conference on Formal Methods in Computer-Aided Design (pp. 122–131). Ames, IA, United States: TU Vienna Academic Press. https://doi.org/10.34727/2023/isbn.978-3-85448-060-0_20
[Published Version]
View
| Files available
| DOI