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Light-Weight Methods for Normalization and Visualization of Microarray Data using Only Basic R Data Types

Bioconductor version: Release (3.19)

Methods for microarray analysis that take basic data types such as matrices and lists of vectors. These methods can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.

Author: Henrik Bengtsson [aut, cre, cph], Pierre Neuvial [ctb], Aaron Lun [ctb]

Maintainer: Henrik Bengtsson <henrikb at>

Citation (from within R, enter citation("aroma.light")):


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

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


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


Reference Manual PDF


biocViews Infrastructure, Microarray, MultiChannel, OneChannel, Preprocessing, Software, TwoChannel, Visualization
Version 3.34.0
In Bioconductor since BioC 1.9 (R-2.4) (18 years)
License GPL (>= 2)
Depends R (>= 2.15.2)
Imports stats, R.methodsS3 (>= 1.7.1), R.oo (>= 1.23.0), R.utils (>= 2.9.0), matrixStats (>= 0.55.0)
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Suggests princurve (>= 2.1.4)
Linking To
Depends On Me
Imports Me EDASeq, scone, PSCBS
Suggests Me TIN, aroma.affymetrix,, aroma.core
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package aroma.light_3.34.0.tar.gz
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macOS Binary (x86_64) aroma.light_3.34.0.tgz
macOS Binary (arm64) aroma.light_3.34.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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