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DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels., , , , and . CoRR, (2021)Effective Sub-clonal Cancer Representation to Predict Tumor Evolution., , , , , and . CoRR, (2019)Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer., , , , , , and . CoRR, (2019)Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection., , , , , , , , , and . CoRR, (2018)A Framework for Implementing Machine Learning on Omics Data., , , , , , and . CoRR, (2018)Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer., , , , , and . CoRR, (2019)Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer., , , , , , and . CoRR, (2019)Learning Embeddings from Cancer Mutation Sets for Classification Tasks., , , , , and . CoRR, (2019)