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Random Forest as a Tumour Genetic Marker Extractor
[article]
2019
arXiv
pre-print
Finding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development. In this paper, we explore a recently released dataset of chromosome rearrangements in 2,586 cancer patients, where different sorts of alterations have been detected. Using a Random Forest classifier, we evaluate the relevance of several features (some directly available in the original data, some engineered by us) related to chromosome rearrangements. This evaluation
arXiv:1911.11471v1
fatcat:ebiztkufx5hvnpedj4yztibx4q