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Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data
Motivation: Cancer is a complex disease, triggered by mutations in multiple genes and pathways. There is a growing interest in the application of systems biology approaches to analyze various types of cancer-related data to understand the overwhelming complexity of changes induced by the disease. Re...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935430/ https://www.ncbi.nlm.nih.gov/pubmed/20823333 http://dx.doi.org/10.1093/bioinformatics/btq395 |