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Somatic mutation calling using a RandomForest machine learning approach
SMuRFv2 is freely available for academic use. Commercial usage requires a license. https://github.com/skandlab/SMuRF
Huang et al. (2020) Ensemble-Based Somatic Mutation Calling in Cancer Genomes. Methods in Molecular Biology: Bioinformatics for Cancer Immunotherapy.https://pubmed.ncbi.nlm.nih.gov/32124310/
Huang et al. (2019) SMuRF: Portable and accurate ensemble prediction of somatic mutations. Bioinformatics.https://pubmed.ncbi.nlm.nih.gov/30649191/