Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.
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 a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2008-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2409962?pdf=render |