Article
Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships.
Nature communications - 24 Sept 2021
Cheng Chia-Yi, Li Ying, Varala Kranthi, Bubert Jessica, Huang Ji, Kim Grace J, Halim Justin, Arp Jennifer, Shih Hung-Jui S, Levinson Grace, Park Seo Hyun, Cho Ha Young, Moose Stephen P, Coruzzi Gloria M
Abstract excerpt
Inferring phenotypic outcomes from genomic features is both a promise and challenge for systems biology. Using gene expression data to predict phenotypic outcomes, and functionally validating the genes with predictive powers are two challenges we address in this study. We applied an evolutionarily informed machine learning approach to predict phenotypes based on transcriptome responses shared both within and...
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