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Robust clinical outcome prediction based on Bayesian analysis of transcriptional profiles and prior causal networks
2014
Computer applications in the biosciences : CABIOS
Motivation: Understanding and predicting an individual's response in a clinical trial is the key to better treatments and cost-effective medicine. Over the coming years, more and more large-scale omics datasets will become available to characterize patients with complex and heterogeneous diseases at a molecular level. Unfortunately, genetic, phenotypical and environmental variation is much higher in a human trial population than currently modeled or measured in most animal studies. In our
doi:10.1093/bioinformatics/btu272
pmid:24932007
pmcid:PMC4058945
fatcat:iuf7adxt3vajpmbzd3ksntuwly