Article

Consensus clustering for Bayesian mixture models

2020-12-18

Abstract excerpt

<h4> A bstract </h4> 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 clustering algorithm. Here we consider the application of consensus clustering to a broad class of heuristic clus...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 309ff6b9-79a2-5cdc-9418-eee58dc0050b
DOI: 10.1101/2020.12.17.423244

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Consensus clustering for Bayesian mixture modelsDOI 10.1101/2020.12.17.423244Read

Flexible model-based clustering of mixed binary and continuous data: application to genetic regulation and cancer.Semantic proximity Read

Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture modelSemantic proximity Read

Bayesian clustering with uncertain dataSemantic proximity Read

Multiresolution Clustering of Genomic DataSemantic proximity Read

Fast multi-resolution consensus clusteringSemantic proximity Read

Clusternomics: Integrative Context-Dependent Clustering for Heterogeneous DatasetsSemantic proximity Read

Scalable clustering with supervised linkage methodsSemantic proximity Read

Comparison of sparse biclustering algorithms for gene expression datasetsSemantic proximity Read

fastBMA: Scalable Network Inference and Transitive ReductionSemantic proximity Read

Single Molecule Cluster Analysis dissects splicing pathway conformational dynamics.Semantic proximity Read

GeoWaVe: Geometric median clustering with weighted voting for ensemble clustering of cytometry dataSemantic proximity Read

A Bayesian Framework for Detecting Gene Expression Outliers in Individual SamplesSemantic proximity Read