Bioconductor version: 3.7
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 yahoo.com>
Citation (from within R,
enter citation("ExpressionNormalizationWorkflow")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ExpressionNormalizationWorkflow")
To view available workflows for the version of this package installed in your system, start R and enter:
browseVignettes("ExpressionNormalizationWorkflow")
HTML | R Script | Gene Expression Normalization Workflow |
biocViews | GeneExpressionWorkflow, Workflow |
Version | 1.4.0 |
License | GPL (>=3) |
Depends | |
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) |
LinkingTo | |
Suggests | knitr, BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
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