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ABSTRACT: Background
Interpretation of lists of genes or proteins with altered expression is a critical and time-consuming part of microarray and proteomics research, but relatively little attention has been paid to methods for extracting biological meaning from these output lists. One powerful approach is to examine the expression of predefined biological pathways and gene sets, such as metabolic and signaling pathways and macromolecular complexes. Although many methods for measuring pathway expression have been proposed, a systematic analysis of the performance of multiple methods over multiple independent data sets has not previously been reported.Results
Five different measures of pathway expression were compared in an analysis of nine publicly available mRNA expression data sets
SUBMITTER: Levine DM
PROVIDER: S-EPMC1794557 | biostudies-literature | 2006
REPOSITORIES: biostudies-literature