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Learning genotype-phenotype associations from gaps in multi-species sequence alignments.
Briefings in bioinformatics
Nov 22, 2024
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 network...
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