{"citation":{"ista":"Lukacisinova M, Novak S, Paixao T. 2017. Heuristic prediction for multiple stresses, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pcbi.1005609.s003\">10.1371/journal.pcbi.1005609.s003</a>.","short":"M. Lukacisinova, S. Novak, T. Paixao, (2017).","ama":"Lukacisinova M, Novak S, Paixao T. Heuristic prediction for multiple stresses. 2017. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1005609.s003\">10.1371/journal.pcbi.1005609.s003</a>","ieee":"M. Lukacisinova, S. Novak, and T. Paixao, “Heuristic prediction for multiple stresses.” Public Library of Science, 2017.","mla":"Lukacisinova, Marta, et al. <i>Heuristic Prediction for Multiple Stresses</i>. Public Library of Science, 2017, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1005609.s003\">10.1371/journal.pcbi.1005609.s003</a>.","chicago":"Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Heuristic Prediction for Multiple Stresses.” Public Library of Science, 2017. <a href=\"https://doi.org/10.1371/journal.pcbi.1005609.s003\">https://doi.org/10.1371/journal.pcbi.1005609.s003</a>.","apa":"Lukacisinova, M., Novak, S., &#38; Paixao, T. (2017). Heuristic prediction for multiple stresses. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1005609.s003\">https://doi.org/10.1371/journal.pcbi.1005609.s003</a>"},"type":"research_data_reference","date_published":"2017-07-18T00:00:00Z","day":"18","date_created":"2021-08-09T14:08:14Z","article_processing_charge":"No","date_updated":"2023-02-23T12:55:39Z","month":"07","author":[{"full_name":"Lukacisinova, Marta","last_name":"Lukacisinova","id":"4342E402-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2519-8004","first_name":"Marta"},{"full_name":"Novak, Sebastian","last_name":"Novak","id":"461468AE-F248-11E8-B48F-1D18A9856A87","first_name":"Sebastian"},{"first_name":"Tiago","full_name":"Paixao, Tiago","last_name":"Paixao","orcid":"0000-0003-2361-3953","id":"2C5658E6-F248-11E8-B48F-1D18A9856A87"}],"title":"Heuristic prediction for multiple stresses","doi":"10.1371/journal.pcbi.1005609.s003","_id":"9851","abstract":[{"text":"Based on the intuitive derivation of the dynamics of SIM allele frequency pM in the main text, we present a heuristic prediction for the long-term SIM allele frequencies with χ > 1 stresses and compare it to numerical simulations.","lang":"eng"}],"year":"2017","related_material":{"record":[{"status":"public","id":"696","relation":"used_in_publication"}]},"publisher":"Public Library of Science","status":"public","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","oa_version":"Published Version","department":[{"_id":"ToBo"},{"_id":"CaGu"},{"_id":"NiBa"}]}