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Regularized gene selection in cancer microarray meta-analysis
2009
BMC Bioinformatics
In cancer studies, it is common that multiple microarray experiments are conducted to measure the same clinical outcome and expressions of the same set of genes. An important goal of such experiments is to identify a subset of genes that can potentially serve as predictive markers for cancer development and progression. Analyses of individual experiments may lead to unreliable gene selection results because of the small sample sizes. Meta analysis can be used to pool multiple experiments,
doi:10.1186/1471-2105-10-1
pmid:19118496
pmcid:PMC2631520
fatcat:7iqmtbbn6veprfhmkzitt2pa6y