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Article

MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.

BMC bioinformatics - 11 Jul 2014

Feigelman Justin, Theis Fabian J, Marr Carsten

Abstract excerpt

BACKGROUND: Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of distinct subpopulations may be difficult if biological measurements yield distributions that are not easily separable. RESULTS: We present Multiresolution Correlation Analysis (MCA), a method for visually identifying subpopulations based on...

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Identifiers

PMID: 25015590
DOI: 10.1186/1471-2105-15-240
PMCID: PMC4227291

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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