CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer.
CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer.
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DOI：
10.1186/s13059-015-0700-7
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发表时间：
2015-08-08
期刊：
影响因子：
12.3
通讯作者：
Raphael BJ
中科院分区：
文献类型：
--
作者：
Leiserson MD;Wu HT;Vandin F;Raphael BJ
癌症是一种异质性疾病，具有不同的遗传变异组合，推动其在不同个体中的发展。我们介绍CoMEt，一种算法来识别改变的组合，这些改变在个体之间表现出相互排斥的模式，通常在同一途径中观察到改变。CoMEt包括互斥性的精确统计检验和同时分析多组互斥和亚型特异性改变的技术。我们证明了CoMEt优于现有的方法模拟和真实的数据。我们将CoMEt应用于五种不同的癌症类型，识别已知的癌症基因和途径，以及新的推定癌症基因。本文的在线版本（doi：10.1186/s13059-015-0700-7）包含补充材料，可供授权用户使用。
Cancer is a heterogeneous disease with different combinations of genetic alterations driving its development in different individuals. We introduce CoMEt, an algorithm to identify combinations of alterations that exhibit a pattern of mutual exclusivity across individuals, often observed for alterations in the same pathway. CoMEt includes an exact statistical test for mutual exclusivity and techniques to perform simultaneous analysis of multiple sets of mutually exclusive and subtype-specific alterations. We demonstrate that CoMEt outperforms existing approaches on simulated and real data. We apply CoMEt to five different cancer types, identifying both known cancer genes and pathways, and novel putative cancer genes. The online version of this article (doi:10.1186/s13059-015-0700-7) contains supplementary material, which is available to authorized users.