Authors
Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Publication date
2017/5/19
Journal
IEEE/ACM transactions on computational biology and bioinformatics
Volume
16
Issue
2
Pages
417-424
Publisher
IEEE
Description
A cellular signal transduction network is an important means to describe biological responses to environmental stimuli and exchange of biological signals. Constructing the cellular signal transduction network provides an important basis for the study of the biological activities, the mechanism of the diseases, drug targets and so on. The statistical approaches to network inference are popular in literature. Granger test has been used as an effective method for causality inference. Compared with bivariate granger tests, multivariate granger tests reduce the indirect causality and were used widely for the construction of cellular signal transduction networks. A multivariate Granger test requires that the number of time points in the time-series data is more than the number of nodes involved in the network. However, there are many real datasets with a few time points which are much less than the number of nodes in the …
Total citations
201820192020202120222023467311
Scholar articles
M Li, R Zheng, Y Li, FX Wu, J Wang - IEEE/ACM transactions on computational biology and …, 2017