iDriver

[PMID:27797769] [Bioinformatics]

Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework

“integrated mutations, gene expression, DNA copy numbers, DNA methylation and protein abundance, all available in The Cancer Genome Atlas (TCGA) and developed iDriver, a non-parametric Bayesian framework based on multivariate statistical modeling to identify driver genes in an unsupervised fashion.”

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