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

研究成果: Article査読

9 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号btq427
ページ(範囲)2349-2351
ページ数3
ジャーナルBioinformatics
26
18
DOI
出版ステータスPublished - 2010 7 21
外部発表はい

ASJC Scopus subject areas

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

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