title: A fast and robust statistical test based on likelihood ratio with Bartlett correction to identify Granger causality between gene sets.
abstract: 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.
authors.affiliation: Computational Science Research Program, RIKEN, Wako, Saitama, Japan. andrefujita@riken.jp
authors.forename: André
authors.initials: A
authors.lastname: Fujita
authors.forename: Kaname
authors.initials: K
authors.lastname: Kojima
authors.forename: Alexandre G
authors.initials: AG
authors.lastname: Patriota
authors.forename: João R
authors.initials: JR
authors.lastname: Sato
authors.forename: Patricia
authors.initials: P
authors.lastname: Severino
authors.forename: Satoru
authors.initials: S
authors.lastname: Miyano
mesh_terms: D003198:Computer Simulation; D015870:Gene Expression; D016013:Likelihood Functions; D015233:Models, Statistical