Article
CAPRI: efficient inference of cancer progression models from cross-sectional data.
Bioinformatics (Oxford, England) - 15 Sept 2015
Ramazzotti Daniele, Caravagna Giulio, Olde Loohuis Loes, Graudenzi Alex, Korsunsky Ilya, Mauri Giancarlo, Antoniotti Marco, Mishra Bud
Abstract excerpt
UNLABELLED: We devise a novel inference algorithm to effectively solve the cancer progression model reconstruction problem. Our empirical analysis of the accuracy and convergence rate of our algorithm, CAncer PRogression Inference (CAPRI), shows that it outperforms the state-of-the-art algorithms addressing similar problems. MOTIVATION: Several cancer-related genomic data have become available (e.g. The Cancer...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.