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Article

Spectral biclustering of microarray data: coclustering genes and conditions.

Genome research - 1 Apr 2003

Kluger Yuval, Basri Ronen, Chang Joseph T, Gerstein Mark

Abstract excerpt

Global analyses of RNA expression levels are useful for classifying genes and overall phenotypes. Often these classification problems are linked, and one wants to find "marker genes" that are differentially expressed in particular sets of "conditions." We have developed a method that simultaneously clusters genes and conditions, finding distinctive "checkerboard" patterns in matrices of gene expression data, if...

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Identifiers

PMID: 12671006
DOI: 10.1101/gr.648603
PMCID: PMC430175

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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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