Consensus clustering for Bayesian mixture models

Consensus clustering for Bayesian mixture models

Abstract Background Cluster analysis is an integral part of precision medicine and systems biology, used to define groups of patients or biomolecules. Consensus clustering is an ensemble approach that is widely used in these areas, which combines the output from multiple runs of a non-deterministic...

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Bibliographic Details
Main Authors: Stephen Coleman, Paul D. W. Kirk, Chris Wallace
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Bioinformatics
Subjects:
Cluster analysis
Cell cycle
Ensemble learning
Integrative clustering
Online Access:https://doi.org/10.1186/s12859-022-04830-8

Internet

https://doi.org/10.1186/s12859-022-04830-8

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