Article

<i>muat</i> : portable transformer-based method for tumour classification and representation learning from somatic variants

2026-04-03

Abstract excerpt

<h4>Motivation</h4> Deep neural networks have proven effective in classifying tumour types using next-generation sequencing data. However, developing transferable models that work across heterogeneous operating environments remains challenging due to differences in cohort compositions and data generation protocols, privacy concerns, and limited computational capabilities. <h4>Results</h4> We introduce muat , a...

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Literature Corpus work: bb3d11d0-b0c3-50a8-8126-21a1b4d7152f
DOI: 10.64898/2026.04.01.715762

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