This is a wrapper function for meta-analytical method called METRADISC that perform all steps of the analysis and return all the outputs in one line.
Usage
METRADISC(data, varname, nperm = 1000)
Arguments
data
MetaArray object
varname
Character String - name of one column in clinical data matrices to be used as class labels
nperm
Number of permutations for Monte Carlo permutation test, at least 1000 is suggested
Value
An object of class METRADISC.res containing
ranks
Ranks of the genes in each dataset
RQ
Average rank (R) and measure of heterogeneity (Q) for each gene
MCtest
Four p-values (for low and high R and low and high Q) for each gene as provided after Monte Carlo permutation test
Author(s)
Ivana Ihnatova
References
Zintzaras, E., Ioannidis, J.P.A 2008 Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarrays, Computational Biology and Chemistry 32, 39-47
Examples
data(ColonData)
m <- METRADISC(ColonData, "MSI", 5)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(MAMA)
Loading required package: genefilter
Loading required package: metaMA
Attaching package: 'metaMA'
The following object is masked from 'package:genefilter':
rowVars
Loading required package: xtable
Loading required package: multtest
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: gtools
Loading required package: grid
Loading required package: GeneMeta
Attaching package: 'MAMA'
The following objects are masked from 'package:GeneMeta':
multExpFDR, zScoreFDR, zScorePermuted, zScores
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MAMA/METRADISC.Rd_%03d_medium.png", width=480, height=480)
> ### Name: METRADISC
> ### Title: Wrapper function for METRADISC method
> ### Aliases: METRADISC.res METRADISC
> ### Keywords: univar
>
> ### ** Examples
>
> data(ColonData)
> m <- METRADISC(ColonData, "MSI", 5)
>
>
>
>
>
> dev.off()
null device
1
>