Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.
Journal Information
Full Title: PLoS Genet
Abbreviation: PLoS Genet
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Related Papers from Same Journal
Transparency Score
Transparency Indicators
Click on green indicators to view evidence textCore Indicators
"yours sincerely daniel r schrider guest editor plos genetics gregory p copenhaver editor-in-chief plos genetics www plosgenetics org twitter: @plosgenetics ---------------------------------------------------- comments from the reviewers (if applicable): ---------------------------------------------------- data deposition if you have submitted a research article or front matter that has associated data that are not suitable for deposition in a subject-specific public repository (such as genbank or arrayexpress) one way to make that data available is to deposit it in the dryad digital repository .; journalid=pgenetics&manu=pgenetics-d-23-00305r2 more information about depositing data in dryad is available at http://www datadryad org/depositing . plos publication stage vor-update-to-uncorrected-proof publication update 2023-11-17 data availability all code used in this study are available at github com/ziyimo/popgen-dom-adapt.; data availability all code used in this study are available at github com/ziyimo/popgen-dom-adapt. file s2 fig raw data"
"plos publication stage vor-update-to-uncorrected-proof publication update 2023-11-17 data availability all code used in this study are available at github com/ziyimo/popgen-dom-adapt.; data availability all code used in this study are available at github com/ziyimo/popgen-dom-adapt.; the control file used to run g-phocs is available in the github repository."
"The authors have declared that no competing interests exist."
"This research was supported by US National Institutes of Health grant R35-GM127070 (to AS), the CSHL School of Biological Sciences Gladys & Roland Harriman Fellowship (to ZM), and the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory. The content is solely the responsibility of the authors and does not necessarily represent the official views of the US National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."
Additional Indicators
Assessment Info
Tool: rtransparent
OST Version: N/A
Last Updated: Aug 05, 2025