Article

Consensus clustering applied to multi-omic disease subtyping

2020-10-19

Abstract excerpt

<h4>Background</h4> Facing the diversity of omic data and the difficulty of selecting one result over all those produced by several methods, consensus strategies have the potential to reconcile multiple inputs and to produce robust results. <h4>Results</h4> Here, we introduce ClustOmics, a generic consensus clustering tool that we use in the context of cancer subtyping. ClustOmics relies on a non-relational grap...

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Literature Corpus work: 1e5da815-a5d3-57bb-abc7-38683608fb43
DOI: 10.1101/2020.10.19.345389

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