batchCorrect: Adjust expression data using correction coefficients based on...
In RGLab/ImmuneSignatures2: Pre-Processing for HIPC ImmuneSignatures2 Analysis
View source: R/geneExpressionCrossStudyNormalization.R
batchCorrect R Documentation
Adjust expression data using correction coefficients based on baseline data
to account for study_accession, featureSetName, and cell_type
Description
Adjust expression data using correction coefficients based on baseline data
to account for study_accession, featureSetName, and cell_type
Usage
batchCorrect(eset, batch.vars, covariates)
Arguments
eset
expressionSet
batch.vars
variables to correct for
covariates
additional variables to include in the model
RGLab/ImmuneSignatures2 documentation built on Dec. 9, 2022, 10:51 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/geneExpressionCrossStudyNormalization.R
| batchCorrect | R Documentation |
Adjust expression data using correction coefficients based on baseline data to account for study_accession, featureSetName, and cell_type
Description
Adjust expression data using correction coefficients based on baseline data to account for study_accession, featureSetName, and cell_type
Usage
batchCorrect(eset, batch.vars, covariates)
Arguments
eset |
expressionSet |
batch.vars |
variables to correct for |
covariates |
additional variables to include in the model |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.