| Literature DB >> 33686431 |
Qingfeng Chen1, Yongjie Li2, Kai Tan2, Yvlu Qiao2, Shirui Pan3, Taijiao Jiang4, Yi-Ping Phoebe Chen5.
Abstract
The rapid development of high-throughput technology has generated a large number of biological networks. Network-based methods are able to provide rich information for inferring gene function. This is composed of analyzing the topological characteristics of genes in related networks, integrating biological information, and considering data from different data sources. To promote network biology and related biotechnology research, this article provides a survey for the state of the art of advanced methods of network-based gene function prediction and discusses the potential challenges.Keywords: computational biology; function prediction; gene function; network integration; network representation; network-based methods
Year: 2021 PMID: 33686431 DOI: 10.1093/bfgp/elab006
Source DB: PubMed Journal: Brief Funct Genomics ISSN: 2041-2649 Impact factor: 4.241