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 analysis is...

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Detalles Bibliográficos
Autores principales: Miozzi, Laura, Piro, Rosario Michael, Rosa, Fabio, Ala, Ugo, Silengo, Lorenzo, Di Cunto, Ferdinando, Provero, Paolo
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2409962/
https://www.ncbi.nlm.nih.gov/pubmed/18560577
http://dx.doi.org/10.1371/journal.pone.0002439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2409962/
https://www.ncbi.nlm.nih.gov/pubmed/18560577
http://dx.doi.org/10.1371/journal.pone.0002439

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