Article

Oyster: a neural network for modelling genomic sequences that enables exact position-specific <i>k</i> -mer contributions

2025-11-02

Abstract excerpt

Genomic functions arise from nucleotide sequences and their overlapping k -mers – subsequences whose contributions depend on their composition, position and associations. Understanding these contributions requires computing a k -mer contribution function that may or may not consider k -mer associations. Neural networks that model associations yield powerful predictors but are notoriously hard to interpret; conv...

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Literature Corpus work: 471cd241-480d-5e69-9cb2-ef2286e2cc03
DOI: 10.1101/2025.11.01.686014

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