Consensus clustering applied to multi-omics disease subtyping

Consensus clustering applied to multi-omics disease subtyping

Abstract Background Facing the diversity of omics 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. Results Here, we introduce ClustOmics, a generic consensus...

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Bibliographic Details
Main Authors: Galadriel Brière, Élodie Darbo, Patricia Thébault, Raluca Uricaru
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Bioinformatics
Subjects:
Disease subtyping
Multi-omic data
Data integration
Consensus clustering
Online Access:https://doi.org/10.1186/s12859-021-04279-1

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