Article
Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.
PloS one - 18 Jun 2008
Miozzi Laura, Piro Rosario Michael, Rosa Fabio, Ala Ugo, Silengo Lorenzo, Di Cunto Ferdinando, Provero Paolo
Abstract excerpt
BACKGROUND: High-throughput gene expression data can predict gene function through the "guilt by association" principle: coexpressed genes are likely to be functionally associated. METHODOLOGY/PRINCIPAL FINDINGS: We analyzed publicly available expression data on normal human tissues. The analysis is based on the integration of data obtained with two experimental platforms (microarrays and SAGE) and of various...
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