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Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data
2010
Bioinformatics
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. Results: We reconstructed a regulatory module network using gene expression, microRNA expression and a clinical parameter, all measured in lymphoblastoid cell lines derived from patients having
doi:10.1093/bioinformatics/btq395
pmid:20823333
pmcid:PMC2935430
fatcat:gub6y4o37jd23mrthpmw6jpm4q