Detecting Positive Selection by Modeling Structure Within Images of Genetic Variation.

Abstract excerpt

A major challenge in population genomics is accurately identifying and characterizing natural selection from genomic data. The wide availability of dense whole-genome datasets has enabled researchers to analyze and localize genetic variation within populations. Powerful supervised machine learning methods allow researchers to extract spatial information about genetic variation across the genome and identify...

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