A novel and efficient algorithm for de novo discovery of mutated driver pathways in cancer

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：fw1989

【摘要】

：

Next-generation sequencing studies on cancer somatic mutations have discovered that driver mutations tend to appear in most tumor samples,but they barely overlap in any single tumor sample,presumably

【作者】

：

Binghui Liu Xiaotong Shen Wei Pan

【机构】

：

School of Mathematics and Statistics & KLAS,Northeast Normal University,Changchun 130024,Jilin Provi

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

DNA sequencing Driver mutations Optimization Subset selection Truncated L1 penal

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　　Next-generation sequencing studies on cancer somatic mutations have discovered that driver mutations tend to appear in most tumor samples,but they barely overlap in any single tumor sample,presumably because a single driver mutation can perturb the whole pathway.

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A novel and efficient algorithm for de novo discovery of mutated driver pathways in cancer

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