Network-based methods for gene function prediction
Qingfeng Chen, Yongjie Li, Kai Tan, Yvlu Qiao, Shirui Pan, Taijiao Jiang, Yi‐Ping Phoebe Chen
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.
Topics & Concepts
BiologyComputational biologyFunction (biology)GeneGene regulatory networkEvolutionary biologyGeneticsGene expressionBioinformatics and Genomic NetworksGene expression and cancer classificationMachine Learning in Bioinformatics