Computational Selection of Transcriptomics Experiments Improves Guilt-by-Association Analyses

The Guilt-by-Association (GBA) principle, according to which genes with similar expression profiles are functionally associated, is widely applied for functional analyses using large heterogeneous collections of transcriptomics data. However, the use of such large collections could hamper GBA functi...

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Detalles Bibliográficos
Autores principales: Bhat, Prajwal, Yang, Haixuan, Bögre, László, Devoto, Alessandra, Paccanaro, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413680/
https://www.ncbi.nlm.nih.gov/pubmed/22879875
http://dx.doi.org/10.1371/journal.pone.0039681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413680/
https://www.ncbi.nlm.nih.gov/pubmed/22879875
http://dx.doi.org/10.1371/journal.pone.0039681

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