Package: MetaPath
Type: Package
Title: Perform the Meta-Analysis for Pathway Enrichment Analysis (MAPE)
Version: 1.0
Date: 2015-09-28
Author: Kui Shen and Geroge Tseng
Maintainer: Kui Shen <kuishen@alumni.pitt.edu>
Depends: R (>= 3.0.0),Biobase,GSEABase,genefilter,impute
Description: 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.
        http://www.ncbi.nlm.nih.gov/pubmed/20410053.
License: GPL (>= 2.0)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-10-02 19:12:17 UTC; root
Repository: CRAN
Date/Publication: 2015-10-03 07:57:54
Built: R 3.6.0; ; 2019-05-28 21:17:58 UTC; windows
