Random Forest as a Tumour Genetic Marker Extractor

Dario Garcia-Gasulla; David Torrents; Eduard Ayguad\'e; Ferran Par\'es; Jes\'us Labarta; Raquel P\'erez-Arnal; Ulises Cort\'es

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Random Forest as a Tumour Genetic Marker Extractor

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arxiv 1911.11471 v1 pith:HUE3H4WA submitted 2019-11-26 q-bio.GN cs.LG

Raquel Pérez-Arnal , Dario Garcia-Gasulla , David Torrents , Ferran Parés , Ulises Cortés , Jesús Labarta , Eduard Ayguadé This is my paper · ORCID

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keywords geneticsometumourcancerchromosomeforestmarkersrandom

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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 results in a set of potential tumour genetic markers, some of which are validated in the bibliography, while others are potentially novel.

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