virtualArray statistics

You need an account to access this content


Citations per year

Citations chart

Popular tool citations

chevron_left Data preprocessing chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

virtualArray specifications


Unique identifier OMICS_01979
Name virtualArray
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.8.0
Stability Stable
AnnotationDbi, limma, methods, stats, plyr, graphics, BiocGenerics, Biobase, GEOquery, utils, R(>=2.15.0), affy, preprocessCore, reshape2, affydata,, affyPLM, gcrma, tseries, outliers, plier, lumi
Maintained Yes


Add your version



  • person_outline Andreas Heider <>

Publication for virtualArray

virtualArray in publications

PMCID: 5884535
PMID: 29617451
DOI: 10.1371/journal.pone.0194844

[…] (qn) from the r package lumi []. in both cases, genes with low variability expression values were discarded to reduce false-positive rates., data from both platforms were integrated with the virtualarray software r package []. this software allows data from different microarray platforms to be merged by considering several batch effect removal and cross-platform correction methods. […]

PMCID: 5603607
PMID: 28924151
DOI: 10.1038/s41598-017-12084-1

[…] a specific comparison demanded two expression arrays from different platforms because the data were not present in the gse to enable comparison of the two tissues, we used the bioconductor package virtualarray, which enables the combination of raw expression data of different microarray platforms regardless of the platform and chip generation method used. the package generates a combined […]

PMCID: 4786261
PMID: 26964064
DOI: 10.1371/journal.pone.0151335

[…] datasets generated in this study were compared with data from previous studies, deposited in public databases (ncbi gene expression omnibus, geo; ) []. r/bioconductor and the software package “virtualarray” were used to combine all data into one dataset (virtual array) [,]. the resulting new array was exported and analyzed in tm4 mev [] and archaeopteryx [], which was further used […]

PMCID: 4778605
PMID: 26981348
DOI: 10.1016/j.gdata.2015.11.010

[…] , . large platform specific batch effects were observed between the two datasets, so an unsupervised empirical bayes method was used to remove these batch effects after as implemented in the ‘virtualarray’ package . the two datasets were merged on common genes after multiple probes that mapped to the same gene were collapsed by taking the median expression value per sample. genes […]

PMCID: 4479042
PMID: 25968054
DOI: 10.1038/ncomms8095

[…] on our human data set and previously described mescs and episcs, and naive and primed hesc gene expression data sets (gse23402, gse15603, gse7866, gse29397, gse43421 and gse43398). we used the virtualarray r/bioconductor package to combine and normalize the different data sets, collapse by median probes targeting the same genes and identify genes present in all data sets, using gene […]

virtualArray institution(s)
Translational Centre for Regenerative Medicine Leipzig, University of Leipzig, Leipzig, Germany
virtualArray funding source(s)
This work has been funded by the German Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF, PtJ-Bio: 0315883) and Vita34 AG, Leipzig.

virtualArray reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review virtualArray