Learn R Programming

metaArray (version 1.50.0)

Integration of Microarray Data for Meta-analysis

Description

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

Copy Link

Version

Version

1.50.0

License

LGPL-2

Maintainer

Hyungwon Choi

Last Published

February 15th, 2017

Functions in metaArray (1.50.0)

Zscore

Meta-analysis of Microarray Data from Different Platforms
mdata

metaArray sample dataset
find.init

Initialization of EM algorithm
em.draw

Plot of transformed expression produced by EM algorithm
poe.em

Probability of Expression from mixture distribution for multiple genes.
poe.mcmc

Probability of Expression (POE)
intcor

Integrative Correlation Analysis
fit.em

Probability of expresison from mixture distribution for a single gene.
logit

Logit transform