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题目:: MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis.
作者:: Jia(Peilin),Wang(Quan),Chen(Qingxia),Hutchinson(Katherine E),Pao(William),Zhao(Zhongming)
状态:: 发布时间2015-03-31 , 更新时间 2016-10-19
期刊:: Genome Biol
摘要:: Many cancer genes form mutation hotspots that disrupt their functional domains or active sites, leading to gain- or loss-of-function. We propose a mutation set enrichment analysis (MSEA) implemented by two novel methods,MSEA-clust and MSEA-domain, to predict cancer genes based on mutation hotspot patterns. MSEA methods are evaluated by both simulated and real cancer data. We find approximately 51% of the eligible known cancer genes form detectable mutation hotspots. Application of MSEA in eight cancers reveals a total of 82 genes with mutation hotspots,including well-studied cancer genes, known cancer genes re-found in new cancer types, and novel cancer genes.
语言:: eng
DOI:

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