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Similarity of Transcription Profiles for Genes in Gene Sets

机译:基因组中基因转录谱的相似性

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摘要

In gene set focused knowledge-based analysis we assume that genes from the same functional gene set have similar transcription profiles. We compared the distributions of similarity scores of gene transcription profiles between genes from the same gene sets and genes chosen at random. In line with previous research, our results show that transcription profiles of genes from the same gene sets are on average indeed more similar than random transcription profiles, although the differences are slight. We performed the experiments on 35 human cancer data sets, with KEGG pathways and BioGRID interactions as gene set sources. Pearson correlation coefficient and interaction gain were used as association measures.
机译:在以基因集为中心的基于知识的分析中,我们假设来自相同功能基因集的基因具有相似的转录谱。我们比较了来自相同基因集的基因和随机选择的基因之间的基因转录谱相似性得分的分布。与以前的研究一致,我们的结果表明,尽管差异很小,但平均而言,来自相同基因集的基因的转录谱确实比随机转录谱更相似。我们以KEGG途径和BioGRID相互作用为基因集来源,对35个人类癌症数据集进行了实验。皮尔逊相关系数和相互作用增益用作关联度量。

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