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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...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3413680/ https://ncbi.nlm.nih.gov/pubmed/22879875 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0039681 |
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