Evolutionary sparse learning with paired species contrast reveals the shared genetic basis of convergent traits.

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Bibliographic Details
Title: Evolutionary sparse learning with paired species contrast reveals the shared genetic basis of convergent traits.
Authors: Allard JB; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.; Department of Biology, Temple University, Philadelphia, PA 19122, USA., Sharma S; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.; Department of Biology, Temple University, Philadelphia, PA 19122, USA., Patel R; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.; Department of Biology, Temple University, Philadelphia, PA 19122, USA., Sanderford M; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.; Department of Biology, Temple University, Philadelphia, PA 19122, USA., Tamura K; Department of Biological Sciences, Tokyo Metropolitan University, Tokyo, Japan.; Research Center for Genomics and Bioinformatics, Tokyo Metropolitan University, Tokyo, Japan., Vucetic S; Department of Computer and Information Sciences, Temple University, Philadelphia PA, United States of America., Gerhard GS; Lewis Katz School of Medicine at Temple University, Philadelphia, PA, 19140, USA., Kumar S; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.; Department of Biology, Temple University, Philadelphia, PA 19122, USA.; Center for Excellence in Genome Medicine and Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Jan 08. Date of Electronic Publication: 2025 Jan 08.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.01.08.631987