Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping
Prima Sanjaya, Katri Maljanen, Riku Katainen, Sebastian M. Waszak, John C. Ambrose, P. Arumugam, Roel P. J. Bevers, Marta Bleda, F. Boardman-Pretty, Christopher R. Boustred, Helen K. Brittain, Matthew Arthur Brown, Mark J. Caulfield, G. C. Chan, Adam P Giess, , Esa Pitkänen
The paper introduces MuAt, a deep learning model that learns representations of somatic mutations to predict tumour types and subtypes with high accuracy.
Genome Medicine · Jul 7, 2023Peer-reviewedGenomics