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XMRF: An R package to Fit Markov Networks to High-Throughput Genetics Data
Motivation: Technological advances in medicine have led to a rapid proliferation of high-throughput "omics" data. Tools to mine this data and discover disrupted disease networks are needed as they hold the key to understanding complicated interactions between genes, mutations and aberrations, and epi-genetic markers. Results: We developed an R software package, XMRF, that can be used to fit Markov Networks to various types of high-throughput genomics data. Encoding the models and estimationdoi:10.1101/032219 fatcat:fj4zo6yiffebpmuahqdyei53ia