CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network.

Abstract excerpt

With recent advances in DNA sequencing technologies, fast acquisition of large-scale genomic data has become commonplace. For cancer studies, in particular, there is an increasing need for the classification of cancer type based on somatic alterations detected from sequencing analyses. However, the ever-increasing size and complexity of the data make the classification task extremely challenging. In this study,...

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