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Pooling Information Across Different Studies and Oligonucleotide Chip Types to Identify Prognostic Genes for Lung Cancer
[chapter]
Methods of Microarray Data Analysis
Our goal in this work is to pool information across microarray studies conducted at different institutions using two different versions of Affymetrix chips to identify genes whose expression levels offer information on lung cancer patients' survival above and beyond the information provided by readily available clinical covariates. We combine information across chip types by identifying "matching probes" present on both chips, and then assembling them into new probesets based on Unigene
doi:10.1007/0-387-23077-7_5
fatcat:jn6rhexvknfynbnxoglt5sz7la