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Knowledge Driven Approaches and Machine Learning Improve the Identification of Clinically Relevant Somatic Mutations in Cancer Genomics

机译：知识驱动的方法和机器学习可改善对癌症基因组学中临床相关的体细胞突变的识别

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作者
Ainscough, Benjamin John.;
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作者单位

Washington University in St. Louis.;

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授予单位 Washington University in St. Louis.;
学科
学位 Ph.D.
年度 2017
页码 181 p.
总页数 181
原文格式 PDF
正文语种 eng
中图分类
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Knowledge Driven Approaches and Machine Learning Improve the Identification of Clinically Relevant Somatic Mutations in Cancer Genomics

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