A fast and robust statistical test based on likelihood ratio with Bartlett correction to identify Granger causality between gene sets.
We propose a likelihood ratio test (LRT) with Bartlett correction in order to identify Granger causality between sets of time series gene expression data. The performance of the proposed test is compared to a previously published bootstrap-based approach. LRT is shown to be significantly faster and statistically powerful even within non-Normal distributions. An R package named gGranger containing an implementation for both Granger causality identification tests is also provided.


BACKGROUND
http://dnagarden.ims.u-tokyo.ac.jp/afujita/en/doku.php?id=ggranger.
Fujita
André
A
Computational Science Research Program, RIKEN, Wako, Saitama, Japan. andrefujita@riken.jp
Kojima
Kaname
K
Patriota
Alexandre G
AG
Sato
João R
JR
Severino
Patricia
P
Miyano
Satoru
S
D003198:Computer Simulation; D015870:Gene Expression; D016013:Likelihood Functions; D015233:Models, Statistical