LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes.

ABSTRACT: Cancer driver genes, i.e., oncogenes and tumor suppressor genes, are involved in the acquisition of important functions in tumors, providing a selective growth advantage, allowing uncontrolled proliferation and avoiding apoptosis. It is therefore important to identify these driver genes, both for the fundamental understanding of cancer and to help finding new therapeutic targets or biomarkers. Although the most frequently mutated driver genes have been identified, it is believed that many more remain to be discovered, particularly for driver genes specific to some cancer types. In this paper, we propose a new computational method called LOTUS to predict new driver genes. LOTUS is a machine-learning based approach which allows to integrate various types of data in a versatile manner, includ

SUBMITTER: Collier O 

PROVIDER: S-EPMC6786659 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature