Analysis method of Tissue-specific gene set weight

Tian Tian, Huakun Wang
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Abstract

Gene set testing is one of the indispensable analysis methods for analyzing high-dimensional genome data. Although the expression and function of many genes are tissue-specific, gene set testing is performed in a way that does not distinguish between tissue types. In order to cope with this challenge, this article uses the tissue-specific gene activity information in the human protein atlas to calculate the tissue-specific gene weights, and uses the filtered gene set in the molecular signature database to generate the tissue-specific gene set weights. In order to prove the validity of these weights, this article use the weights to perform gene set tests on the gene expression data of the three diseases, and use the p-values generated by the tests to weight. Through the weighted FDR analysis, this research can conclude the proposed tissue-specific gene set weights significantly improve the statistical power of gene set testing, and more accurately identified the biological gene set association information of high-dimensional genome data.
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组织特异性基因集重量分析方法
基因集检测是分析高维基因组数据不可缺少的分析方法之一。虽然许多基因的表达和功能是组织特异性的,但基因集检测的方式并不区分组织类型。为了应对这一挑战,本文利用人类蛋白质图谱中的组织特异性基因活性信息计算组织特异性基因权重,并利用分子特征数据库中过滤后的基因集生成组织特异性基因集权重。为了证明这些权重的有效性,本文使用这些权重对三种疾病的基因表达数据进行基因集测试,并使用测试产生的p值进行加权。通过加权FDR分析,本研究得出提出的组织特异性基因集权重显著提高了基因集检测的统计能力,更准确地识别出高维基因组数据的生物基因集关联信息。
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