PyClone: statistical inference of clonal population structure in cancer
PyClone: statistical inference of clonal population structure in cancer
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DOI：
10.1038/nmeth.2883
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发表时间：
2014-04-01
期刊：
影响因子：
48
通讯作者：
Shah, Sohrab P.
中科院分区：
文献类型：
--
作者：
Roth, Andrew;Khattra, Jaswinder;Shah, Sohrab P.
我们介绍了PyClone，一个用于推断癌症克隆群体结构的统计模型。PyClone是一种贝叶斯聚类方法，用于将深度测序的体细胞突变集分组为假定的克隆簇，同时估计其细胞患病率，并考虑由片段拷贝数变化和正常细胞污染引入的等位基因失衡。单细胞测序验证证明了PyClone的准确性。
We introduce PyClone, a statistical model for inference of clonal population structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced somatic mutations into putative clonal clusters while estimating their cellular prevalences and accounting for allelic imbalances introduced by segmental copy-number changes and normal-cell contamination. Single-cell sequencing validation demonstrates PyClone's accuracy.