Article
Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jul 2020
Dehkharghanian Taher, Rahnamayan Shahryar, Tizhoosh Hamid R
Abstract excerpt
In this paper, we introduce a new dataset for cancer research containing somatic mutation states of 536 genes of the Cancer Gene Census (CGC). We used somatic mutation information from the Cancer Genome Atlas (TCGA) projects to create this dataset. As preliminary investigations, we employed machine learning techniques, including k-Nearest Neighbors, Decision Tree, Random Forest, and Artificial Neural Networks...
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