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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2012
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| Materias: | |
| 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 |