期刊论文

Zhang, Xiao-Fei

英文

IEEE/ACM Transactions on Computational Biology and Bioinformatics

1545-5963

2018

15

6

2079-2085

10.1109/TCBB.2018.2809603

National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61402190, 61532008, 61602309]

本校为第一且通讯机构

Exploring the rewiring pattern of gene regulatory networks between different pathological states is an important task in bioinformatics. Although a number of computational approaches have been developed to infer differential networks from high-throughput data, most of them only focus on gene expression data. The valuable static gene regulatory network data accumulated in recent biomedical researches are neglected. In this study, we propose a new Gaussian graphical model-based method to infer differential networks by integrating gene expression and static gene regulatory network data. We first ...