Improve consensus partitioning via a hierarchical procedure.
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DOI: 10.1093/bib/bbac048
Abstract: Consensus partitioning is an unsupervised method widely used in high-throughput data analysis for revealing subgroups and assigning stability for the classification. However, standard consensus partitioning procedures are weak for identifying large numbers of stable subgroups.… read more here.
Keywords: analysis; consensus partitioning; hierarchical procedure; hierarchical consensus ... See more keywords