Ontology highlight
ABSTRACT:
SUBMITTER: Washburn JD
PROVIDER: S-EPMC6431157 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature
Washburn Jacob D JD Mejia-Guerra Maria Katherine MK Ramstein Guillaume G Kremling Karl A KA Valluru Ravi R Buckler Edward S ES Wang Hai H
Proceedings of the National Academy of Sciences of the United States of America 20190306 12
Deep learning methodologies have revolutionized prediction in many fields and show potential to do the same in molecular biology and genetics. However, applying these methods in their current forms ignores evolutionary dependencies within biological systems and can result in false positives and spurious conclusions. We developed two approaches that account for evolutionary relatedness in machine learning models: (<i>i</i>) gene-family-guided splitting and (<i>ii</i>) ortholog contrasts. The firs ...[more]