Efficient algorithms to discover alterations with complementary functional association in cancer.

ABSTRACT: Recent large cancer studies have measured somatic alterations in an unprecedented number of tumours. These large datasets allow the identification of cancer-related sets of genetic alterations by identifying relevant combinatorial patterns. Among such patterns, mutual exclusivity has been employed by several recent methods that have shown its effectiveness in characterizing gene sets associated to cancer. Mutual exclusivity arises because of the complementarity, at the functional level, of alterations in genes which are part of a group (e.g., a pathway) performing a given function. The availability of quantitative target profiles, from genetic perturbations or from clinical phenotypes, provides additional information that can be leveraged to improve the identification of cancer related gen

SUBMITTER: Sarto Basso R 

PROVIDER: S-EPMC6550413 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature