  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.
