A fast and robust statistical test based on likelihood ratio with Bartlett correction to identify Granger causality between gene sets

André Fujita, Kaname Kojima, Alexandre G. Patriota, João R. Sato, Patricia Severino, Satoru Miyano

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Summary: 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 bootstrapbased 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.

Original languageEnglish
Article numberbtq427
Pages (from-to)2349-2351
Number of pages3
JournalBioinformatics
Volume26
Issue number18
DOIs
Publication statusPublished - 2010 Jul 21
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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