Article

MONET: Multi-omic patient module detection by omic selection

2020-02-24

Abstract excerpt

Recent advances in experimental biology allow creation of datasets where several genome-wide data types (called omics) are measured per sample. Integrative analysis of multi-omic datasets in general, and clustering of samples in such datasets specifically, can improve our understanding of biological processes and discover different disease subtypes. In this work we present Monet (Multi Omic clustering by Non-Exhau...

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Literature Corpus work: abe69ecd-3d72-5f1d-bbdb-a2f2238d37b8
DOI: 10.1101/2020.02.21.960062

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