Article

Classic machine learning on top of multiple position weight matrices improves genomic prediction of transcription factor binding sites

2026-05-14

Abstract excerpt

<h4>Motivation</h4> DNA motifs recognised by transcription factors are typically represented as position weight matrices (PWMs), assuming independent contributions of individual nucleotides to protein binding specificity. Many alternative models accounting for correlations of positional contributions have been introduced in the past decades. However, performance gains have generally not outweighed the advantages...

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Literature Corpus work: c3364f46-0e35-5685-afb1-abc0163fe5b2
DOI: 10.64898/2026.05.12.724515

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