논문

게재년월 2019/01
논문제목 HumanNet v2: human gene networks for disease research.
참여교수 이인석
학술지명 NUCLEIC ACIDS RESEARCH
초록 Human gene networks have proven useful in many aspects of disease research, with numerous network-based strategies developed for generating hypotheses about gene-disease-drug associations. The ability to predict and organize genes most relevant to a specific disease has proven especially important. We previously developed a human functional gene network, HumanNet, by integrating diverse types of omics data using Bayesian statistics framework and demonstrated its ability to retrieve disease genes. Here, we present HumanNet v2 (http://www.inetbio.org/humannet), a database of human gene networks, which was updated by incorporating new data types, extending data sources and improving network inference algorithms. HumanNet now comprises a hierarchy of human gene networks, allowing for more flexible incorporation of network information into studies. HumanNet performs well in ranking disease-linked gene sets with minimal literature-dependent biases. We observe that incorporating model organisms\' protein-protein interactions does not markedly improve disease gene predictions, suggesting that many of the disease gene associations are now captured directly in human-derived datasets. With an improved interactive user interface for disease network analysis, we expect HumanNet will be a useful resource for network medicine.
게재정보 Nucleic Acids Res. 2019 Jan 8;47(D1):D573-D580. doi: 10.1093/nar/gky1126
총저자명 Hwang S, Kim CY, Yang S, Kim E, Hart T, Marcotte EM, Lee I.