metaArray: Integration of Microarray Data for Meta-analysis

1) Data transformation for meta-analysis of microarray Data: Transformation of gene expression data to signed probability scale (MCMC/EM methods) 2) Combined differential expression on raw scale: Weighted Z-score after stabilizing mean-variance relation within platform

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("metaArray")
AuthorDebashis Ghosh <ghoshd@psu.edu> Hyungwon Choi <hyung_won_choi@nuhs.edu.sg>
Bioconductor views DifferentialExpression Microarray
Date of publicationNone
MaintainerHyungwon Choi <hyung_won_choi@nuhs.edu.sg>
LicenseLGPL-2
Version1.52.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/Zscore.R R/em.draw.R R/find.init.R R/fit.em.R R/intcor.R R/logit.R R/poe.em.R R/poe.mcmc.R
build
build/vignette.rds
data
data/datalist
data/mdata.R
inst
inst/doc
inst/doc/metaArray.R
inst/doc/metaArray.Rnw
inst/doc/metaArray.pdf
man
man/Zscore.Rd man/em.draw.Rd man/find.init.Rd man/fit.em.Rd man/intcor.Rd man/logit.Rd man/mdata.Rd man/poe.em.Rd man/poe.mcmc.Rd
src
src/Makevars
src/Makevars.win
src/contr.c
src/dproc.c
src/dproc2.c
src/intcor.c
src/lowess.c
src/meta.h
src/mmath.c
src/perm.c
src/poe.c
vignettes
vignettes/metaArray.Rnw

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