Article

Discovering differential genome sequence activity with interpretable and efficient deep learning

2021-02-27

Abstract excerpt

Discovering sequence features that differentially direct cells to alternate fates is key to understanding both cellular development and the consequences of disease related mutations. We introduce Expected Pattern Effect and Differential Expected Pattern Effect, two black-box methods that can interpret genome regulatory sequences for cell type-specific or condition specific patterns. We show that these methods iden...

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Literature Corpus work: c9442b1e-d3c6-50be-90fa-cd958ce56f79
DOI: 10.1101/2021.02.26.433073

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