Learning genotype–phenotype associations from gaps in multi-species sequence alignments
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DOI: 10.1093/bib/bbaf022
Abstract: Abstract Understanding the genetic basis of phenotypic variation is fundamental to biology. Here we introduce GAP, a novel machine learning framework for predicting binary phenotypes from gaps in multi-species sequence alignments. GAP employs a neural… read more here.
Keywords: genotype phenotype; species sequence; sequence alignments; gaps multi ... See more keywords