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Article

Iterative class discovery and feature selection using Minimal Spanning Trees.

BMC bioinformatics - 8 Sept 2004

Varma Sudhir, Simon Richard

Abstract excerpt

BACKGROUND: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples are based on distance metrics utilizing all genes. This has the effect of obscuring clustering in samples that may be evident only when looking at a subset of genes, because noise from irrelevant genes dominates the signal from the...

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Identifiers

PMID: 15355552
DOI: 10.1186/1471-2105-5-126
PMCID: PMC520744

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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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