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Article

Considerations when using the significance analysis of microarrays (SAM) algorithm.

BMC bioinformatics - 29 May 2005

Larsson Ola, Wahlestedt Claes, Timmons James A

Abstract excerpt

BACKGROUND: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments. One of the most frequently utilised methods for gene expression data analysis is SAM (significance analysis of microarrays). The impact of selection thresholds, on the output from SAM, may critically alter the conclusion of a study,...

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PMID: 15921534
DOI: 10.1186/1471-2105-6-129
PMCID: PMC1173086

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

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