MetaPath: Perform the Meta-Analysis for Pathway Enrichment Analysis (MAPE)

Perform the Meta-analysis for Pathway Enrichment (MAPE) methods introduced by Shen and Tseng (2010). It includes functions to automatically perform MAPE_G (integrating multiple studies at gene level), MAPE_P (integrating multiple studies at pathway level) and MAPE_I (a hybrid method integrating MAEP_G and MAPE_P methods). In the simulation and real data analyses in the paper, MAPE_G and MAPE_P have complementary advantages and detection power depending on the data structure. In general, the integrative form of MAPE_I is recommended to use. In the case that MAPE_G (or MAPE_P) detects almost none pathway, the integrative MAPE_I does not improve performance and MAPE_P (or MAPE_G) should be used. Reference: Shen, Kui, and George C Tseng. Meta-analysis for pathway enrichment analysis when combining multiple microarray studies.Bioinformatics (Oxford, England) 26, no. 10 (April 2010): 1316-1323. doi:10.1093/bioinformatics/btq148.

Version: 1.0
Depends: R (≥ 3.0.0), Biobase, GSEABase, genefilter, impute
Published: 2015-10-03
Author: Kui Shen and Geroge Tseng
Maintainer: Kui Shen <kuishen at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: MetaPath results


Reference manual: MetaPath.pdf
Package source: MetaPath_1.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: MetaPath_1.0.tgz, r-oldrel: MetaPath_1.0.tgz
Old sources: MetaPath archive


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