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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. © The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Citation

Qingfeng Chen, Yongjie Li, Kai Tan, Yvlu Qiao, Shirui Pan, Taijiao Jiang, Yi-Ping Phoebe Chen. Network-based methods for gene function prediction. Briefings in functional genomics. 2021 Mar 04


PMID: 33686431

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