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Article

Adjustment of systematic microarray data biases.

Bioinformatics (Oxford, England) - 1 Jan 2004

Benito Monica, Parker Joel, Du Quan, Wu Junyuan, Xiang Dong, Perou Charles M, Marron J S

Abstract excerpt

MOTIVATION: Systematic differences due to experimental features of microarray experiments are present in most large microarray data sets. Many different experimental features can cause biases including different sources of RNA, different production lots of microarrays or different microarray platforms. These systematic effects present a substantial hurdle to the analysis of microarray data. RESULTS: We present...

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Identifiers

PMID: 14693816
DOI: 10.1093/bioinformatics/btg385

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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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