MEGSA: A Powerful and Flexible Framework for Analyzing Mutual Exclusivity of Tumor Mutations

The central challenges in tumor sequencing studies is to identify driver genes and pathways, investigate their functional relationships, and nominate drug targets. The efficiency of these analyses, particularly for infrequently mutated genes, is compromised when subjects carry different combinations of driver mutations. Mutual exclusivity analysis helps address these challenges. To identify mutually exclusive gene sets (MEGS), we developed a powerful and flexible analytic framework based on a likelihood ratio test and a model selection procedure.

Source: The American Journal of Human Genetics - February 18, 2016 Category: Genetics & Stem Cells Authors: Xing Hua, Paula L. Hyland, Jing Huang, Lei Song, Bin Zhu, Neil E. Caporaso, Maria Teresa Landi, Nilanjan Chatterjee, Jianxin Shi Tags: Article Source Type: research