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URL: http://bioconductor.org/packages/release/bioc/html/ConsensusClusterPlus.html
Proper Citation: ConsensusClusterPlus (RRID:SCR_016954)
Description: Software written in R for determining cluster count and membership by stability evidence in unsupervised analysis. Provides quantitative and visual stability evidence for estimating the number of unsupervised classes in a dataset with item tracking, item consensus and cluster consensus plots.
Resource Type: data analysis software, data processing software, software resource, software application
Defining Citation: PMID:20427518
Keywords: cluster, count, stability, evidence, unsupervised, analysis, , bio.tools
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
