MetaPath (1.0)

0 users

Perform the Meta-Analysis for Pathway Enrichment Analysis (MAPE).

http://cran.r-project.org/web/packages/MetaPath

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.

Maintainer: Kui Shen
Author(s): Kui Shen and Geroge Tseng

License: GPL (>= 2.0)

Uses: impute

Released almost 2 years ago.


1 previous version

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of MetaPath yet. Want to be the first? Write one now.


Related packages: gap, meta, psychometric, rmeta, epiR, metaMA, metacor, metafor, MAc, MAd, compute.es, ecoreg, ipdmeta, selectMeta, metatest, extfunnel, CRTSize, MetABEL, HSROC, MetaPCA(20 best matches, based on common tags.)


Search for MetaPath on google, google scholar, r-help, r-devel.

Visit MetaPath on R Graphical Manual.