TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data
发布时间：2025-03-05
点击次数：
DOI码：10.1093/nar/gkab1133
发表刊物：NUCLEIC ACIDS RESEARCH
关键字：DISEASE，INFORMATION，PLATFORM
摘要：Mapping gene interactions within tissues/cell types plays a crucial role in understanding the genetic basis of human physiology and disease. Tissue functional gene networks (FGNs) are essential models for mapping complex gene interactions. We present TissueNexus, a database of 49 human tissue/cell line FGNs constructed by integrating heterogeneous genomic data. We adopted an advanced machine learning approach for data integration because Bayesian classifiers, which is the main approach used for constructing existing tissue gene networks, cannot capture the interaction and nonlinearity of genomic features well. A total of 1,341 RNA-seq datasets containing 52,087 samples were integrated for all of these networks. Because the tissue label for RNA-seq data may be annotated with different names or be missing, we performed intensive hand-curation to improve quality. We further developed a user-friendly database for network search, visualization, and functional analysis. We illustrate the application of TissueNexus in prioritizing disease genes.
备注：Lin, CX (Lin, Cui-Xiang) [1] , [2] ; Li, HD (Li, Hong-Dong) [1] , [2] ; Deng, C (Deng, Chao) [1] , [2] ; Guan, YF (Guan, Yuanfang) [3] ; Wang, JX (Wang, Jianxin) [1] , [2]
论文类型：期刊论文
卷号：50
期号：D1
页面范围：D710-D718
是否译文：否
发表时间：2022-01-07
收录刊物：SCI