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This is the development version of crossmeta; for the stable release version, see crossmeta.

Cross Platform Meta-Analysis of Microarray Data

Bioconductor version: Development (3.19)

Implements cross-platform and cross-species meta-analyses of Affymentrix, Illumina, and Agilent microarray data. This package automates common tasks such as downloading, normalizing, and annotating raw GEO data. The user then selects control and treatment samples in order to perform differential expression analyses for all comparisons. After analysing each contrast seperately, the user can select tissue sources for each contrast and specify any tissue sources that should be grouped for the subsequent meta-analyses.

Author: Alex Pickering

Maintainer: Alex Pickering <alexvpickering at gmail.com>

Citation (from within R, enter citation("crossmeta")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

crossmeta vignette HTML R Script
Reference Manual PDF


biocViews Annotation, BatchEffect, DifferentialExpression, GUI, GeneExpression, Microarray, OneChannel, Preprocessing, Software, TissueMicroarray, Transcription
Version 1.29.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License MIT + file LICENSE
Depends R (>= 4.0)
Imports affy(>= 1.52.0), affxparser(>= 1.46.0), AnnotationDbi(>= 1.36.2), Biobase(>= 2.34.0), BiocGenerics(>= 0.20.0), BiocManager (>= 1.30.4), DT (>= 0.2), DBI (>= 1.0.0), data.table (>= 1.10.4), edgeR, fdrtool (>= 1.2.15), GEOquery(>= 2.40.0), limma(>= 3.30.13), matrixStats (>= 0.51.0), metaMA (>= 3.1.2), miniUI (>= 0.1.1), methods, oligo(>= 1.38.0), reader (>= 1.0.6), RCurl (>=, RSQLite (>= 2.1.1), stringr (>= 1.2.0), sva(>= 3.22.0), shiny (>= 1.0.0), shinyjs (>= 2.0.0), shinyBS (>= 0.61), shinyWidgets (>= 0.5.3), shinypanel (>= 0.1.0), tibble, XML (>=, readxl (>= 1.3.1)
System Requirements libxml2: libxml2-dev (deb), libxml2-devel (rpm) libcurl: libcurl4-openssl-dev (deb), libcurl-devel (rpm) openssl: libssl-dev (deb), openssl-devel (rpm), libssl_dev (csw), openssl@1.1 (brew)
URL https://github.com/alexvpickering/crossmeta
Bug Reports https://github.com/alexvpickering/crossmeta/issues
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package crossmeta_1.29.0.tar.gz
Windows Binary crossmeta_1.29.0.zip
macOS Binary (x86_64) crossmeta_1.29.0.tgz
macOS Binary (arm64) crossmeta_1.29.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/crossmeta
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/crossmeta
Bioc Package Browser https://code.bioconductor.org/browse/crossmeta/
Package Short Url https://bioconductor.org/packages/crossmeta/
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