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Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework

dc.contributor.authorChamper, Samuel E.
dc.contributor.authorOakes, Nathan
dc.contributor.authorSharma, Ronin
dc.contributor.authorGarcia Diaz, Pablo
dc.contributor.authorChamper, Jackson
dc.contributor.authorMesser, Philipp W
dc.date.accessioned2022-01-10T12:09:01Z
dc.date.available2022-01-10T12:09:01Z
dc.date.issued2021-12-29
dc.identifier.citationChamper , S E , Oakes , N , Sharma , R , Garcia Diaz , P , Champer , J & Messer , P W 2021 , ' Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework ' , PLoS Computational Biology , vol. 17 , no. 12 , e1009660 . https://doi.org/10.1371/journal.pcbi.1009660en
dc.identifier.issn1553-734X
dc.identifier.otherPURE: 208870640
dc.identifier.otherPURE UUID: d06dff84-5280-4622-a97d-63b6953a3893
dc.identifier.otherORCID: /0000-0001-5402-0611/work/106161407
dc.identifier.otherScopus: 85122389891
dc.identifier.urihttps://hdl.handle.net/2164/17822
dc.descriptionFunding: This study was supported by funding from New Zealand’s Predator Free 2050 program under Predator Free 2050 Ltd. award SS/05/01 to PWM, and from National Institutes of Health award R01GM127418 to PWM. PG-D received funding from the New Zealand BioHeritage National Science Challenge (contract 1617-28-033 A to Manaaki Whenua – Landcare Research) and from Natural Environment Research Council grant NE/S011641/1 under the Newton Latam programme. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en
dc.format.extent37
dc.language.isoeng
dc.relation.ispartofPLoS Computational Biologyen
dc.rightsChamper et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.https://creativecommons.org/licenses/by/4.0/en
dc.subjectQH301 Biologyen
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectNE/S011641/1en
dc.subjectSupplementary Informationen
dc.subjectSupplementary Dataen
dc.subject.lccQH301en
dc.titleModeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning frameworken
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1371/journal.pcbi.1009660
dc.identifier.vol17en
dc.identifier.iss12en


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