iterClust: a statistical framework for iterative clustering analysis.
other · Level V
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- Record sourced from PubMed, PMID 29579153.
- Also identified by DOI 10.1093/bioinformatics/bty176 and PMC identifier 6084607.
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Abstract
In a scenario where populations A, B1 and B2 (subpopulations of B) exist, pronounced differences between A and B may mask subtle differences between B1 and B2. Here we present iterClust, an iterative clustering framework, which can separate more pronounced differences (e.g. A and B) in starting iterations, followed by relatively subtle differences (e.g. B1 and B2), providing a comprehensive clustering trajectory. iterClust is implemented as a Bioconductor R package. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Software