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.

中文翻译：

---

基于网络的基因功能预测方法

高通量技术的快速发展产生了大量的生物网络。基于网络的方法能够为推断基因功能提供丰富的信息。这包括分析相关网络中基因的拓扑特征，整合生物信息，并考虑来自不同数据源的数据。为了促进网络生物学和相关的生物技术研究，本文对基于网络的基因功能预测的先进方法的现状进行了调查，并讨论了潜在的挑战。