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Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

2022-03-17

Abstract excerpt

Cancer genome sequencing enables accurate classification of tumours and tumour sub-types. However, prediction performance is still limited using exome-only sequencing and for tumor types with low somatic mutation burden such as many pediatric tumours. Moreover, the ability to leverage deep representation learning in discovery of tumour entities remains unknown. We introduce here Mutation-Attention (MuAt), a deep n...

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Literature Corpus work
c910a2ac-8883-55dd-92d8-ce8ecfa1515e
DOI
10.1101/2022.03.15.483816
Open publication

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Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtypingDOI 10.1101/2022.03.15.483816
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