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

نویسندگان

  • André Fujita
  • Kaname Kojima
  • Alexandre Galvão Patriota
  • João Ricardo Sato
  • Patricia Severino
  • Satoru Miyano
چکیده

UNLABELLED 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. AVAILABILITY http://dnagarden.ims.u-tokyo.ac.jp/afujita/en/doku.php?id=ggranger.

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عنوان ژورنال:
  • Bioinformatics

دوره 26 18  شماره 

صفحات  -

تاریخ انتشار 2010