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Gene Expression Normalization Workflow

Bioconductor version: Release (3.19)

An extensive, customized expression normalization workflow incorporating Supervised Normalization of Microarryas(SNM), Surrogate Variable Analysis(SVA) and Principal Variance Component Analysis to identify batch effects and remove them from the expression data to enhance the ability to detect the underlying biological signals.

Author: Karthikeyan Murugesan [aut, cre], Greg Gibson [sad, ths]

Maintainer: Karthikeyan Murugesan <karthikeyanm60 at>

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


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.


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

Gene Expression Normalization Workflow HTML R Script


biocViews GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow
Version 1.30.0
License GPL (>=3)
Imports Biobase(>= 2.24.0), limma(>= 3.20.9), lme4 (>= 1.1.7), matrixStats (>= 0.10.3), pvca(>= 1.4.0), snm(>= 1.12.0), sva(>= 3.10.0), vsn(>= 3.32.0)
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Source Package ExpressionNormalizationWorkflow_1.30.0.tar.gz
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