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aroma.light

This is the released version of aroma.light; for the devel version, see aroma.light.

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


Bioconductor version: Release (3.20)

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 braju.com>

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

Bengtsson H, Neuvial P, Speed TP (2010). “TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays.” BMC Bioinformatics, 11(245). doi:10.1186/1471-2105-11-245, https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-245.

Bengtsson H, Ray A, Spellman P, Speed TP (2009). “A single-sample method for normalizing and combining full-resolutioncopy numbers from multiple platforms, labs and analysis methods.” Bioinformatics, 25(7). doi:10.1093/bioinformatics/btp074, https://bioinformatics.oxfordjournals.org/cgi/content/full/25/7/861.

Bengtsson H, Simpson K, Bullard J, Hansen K (2008). “aroma.affymetrix: A generic framework in R for analyzing small to very large Affymetrix data sets in bounded memory.” Technical Report 745, Department of Statistics, University of California, Berkeley.

Bengtsson H, Irizarry R, Carvalho B, Speed T (2008). “Estimation and assessment of raw copy numbers at the single locus level.” Bioinformatics, 24(6). https://bioinformatics.oxfordjournals.org/cgi/content/full/24/6/759.

Bengtsson H, H"ossjer O (2006). “Methodological study of affine transformations of gene expressiondata with proposed robust non-parametric multi-dimensional normalization method.” BMC Bioinformatics, 7(100). doi:10.1186/1471-2105-7-100, https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-7-100.

Bengtsson H, J"onsson G, Vallon-Christersson J (2004). “Calibration and assessment of channel-specific biases in microarray data with extended dynamical range.” BMC Bioinformatics, 5(177). doi:10.1186/1471-2105-5-177, https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-5-177.

Bengtsson H (2004). “aroma - An R Object-oriented Microarray Analysis environment.” Preprint in Mathematical Sciences 18, Mathematical Statistics, Centre for Mathematical Sciences, Lund University, Sweden. https://lup.lub.lu.se/search/publication/929031.

Installation

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

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("aroma.light")

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

Documentation

Reference Manual PDF
NEWS Text

Details

biocViews Infrastructure, Microarray, MultiChannel, OneChannel, Preprocessing, Software, TwoChannel, Visualization
Version 3.36.0
In Bioconductor since BioC 1.9 (R-2.4) (18.5 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)
System Requirements
URL https://github.com/HenrikBengtsson/aroma.light https://www.aroma-project.org
Bug Reports https://github.com/HenrikBengtsson/aroma.light/issues
See More
Suggests princurve (>= 2.1.4)
Linking To
Enhances
Depends On Me
Imports Me EDASeq, scone, PSCBS
Suggests Me TIN, aroma.affymetrix, aroma.cn, aroma.core
Links To Me
Build Report Build Report

Package Archives

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

Source Package aroma.light_3.36.0.tar.gz
Windows Binary (x86_64) aroma.light_3.36.0.zip
macOS Binary (x86_64) aroma.light_3.36.0.tgz
macOS Binary (arm64) aroma.light_3.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/aroma.light
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/aroma.light
Bioc Package Browser https://code.bioconductor.org/browse/aroma.light/
Package Short Url https://bioconductor.org/packages/aroma.light/
Package Downloads Report Download Stats