全基因组生物标记选择的准确性检验Accuracy test for genome wide selection of bio-markers |
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课程网址: | http://videolectures.net/nipsworkshops2011_kowalczyk_biomarkers/ |
主讲教师: | Adam Kowalczyk |
开课单位: | 澳大利亚国家研究中心 |
开课时间: | 2012-01-23 |
课程语种: | 英语 |
中文简介: | 活细胞的生物化学涉及由DNA编码的蛋白质之间的许多非常复杂的非线性相互作用。因此,在硅片上搜索与疾病相关的生物标记物必须考虑数百万个直接测量的特征(例如SNP调用)之间的非线性相互作用。这给特征选择和约简技术带来了前所未有的统计和计算挑战。本文认为,对这些挑战的建设性回答是可行的。我们重点介绍了一种用于特征选择的统计测试,该测试具有足够的统计能力,能够在对数千亿个成对交互的详尽评估中克服原则性的多重测试校正。为了对该方法进行实证验证,我们展示了在同一疾病的多个独立全基因组关联研究(GWA)中过滤的相互作用的复制,即腹腔和2型糖尿病。 |
课程简介: | Biochemistry of the living cell involves multitude of very complex nonlinear interactions between proteins coded for by DNA. Thus the in-silico searches for disease related bio-markers have to consider non-linear interactions between millions of directly measured features such as SNP calls. This poses unprecedented statistical and computational challenges for feature selection and reduction techniques. This paper argues that constructive answers to these challenges are feasible. We focus on presentation of a statistical test for feature selection with sufficient statistical power to overcome principled multiple test correction in an exhaustive evaluation of hundreds of billions of pairwise interactions. For an empirical validation of the methodology we show replication of filtered interactions in multiple independent Genome Wide Association Studies (GWAS) of the same diseases, namely, Celiac and Type 2 Diabetes. |
关 键 词: | 生物化学; 全基因组; 生物标记物 |
课程来源: | 视频讲座网 |
数据采集: | 2022-03-28:zkj |
最后编审: | 2022-03-28:zkj |
阅读次数: | 43 |