gene_means: Compute means for each gene in a gene x sample matrix
In AllenInstitute/scrattch.hicat: Hierarchical Iterative Clustering Analysis for Transcriptomic data
gene_means R Documentation
Compute means for each gene in a gene x sample matrix
Description
This is a convenient wrapper around rowMeans that is compatible with
multiple matrix types (including dgCMatrix)
Usage
gene_means(dat, rescale = FALSE)
Arguments
dat
a matrix or dg[CT]Matrix of expression values with genes as rows and samples as columns.
rescale
a logical indicating whether or not to rescale using rescale_samples(). Default is FALSE.
Value
a vector of means for each gene/row
AllenInstitute/scrattch.hicat documentation built on Oct. 20, 2023, 6:55 a.m.
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| gene_means | R Documentation |
Compute means for each gene in a gene x sample matrix
Description
This is a convenient wrapper around rowMeans that is compatible with multiple matrix types (including dgCMatrix)
Usage
gene_means(dat, rescale = FALSE)
Arguments
dat |
a matrix or dg[CT]Matrix of expression values with genes as rows and samples as columns. |
rescale |
a logical indicating whether or not to rescale using rescale_samples(). Default is FALSE. |
Value
a vector of means for each gene/row
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.
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