gene_loess_fit: Compute dispersion-mean Loess-fit for each gene in a gene x...
In AllenInstitute/scrattch.hicat: Hierarchical Iterative Clustering Analysis for Transcriptomic data
gene_loess_fit R Documentation
Compute dispersion-mean Loess-fit for each gene in a gene x sample matrix
Description
Compute dispersion-mean Loess-fit for each gene in a gene x sample matrix
Usage
gene_loess_fit(dat, dispersions = NULL, means = NULL, rescale = FALSE)
Arguments
dat
a matrix or dg[CT]Matrix of expression values with genes as rows and samples as columns.
dispersions
(optional) a vector of dispersions for each gene/row. If NULL (default), will be computed using gene_dispersion().
means
(optional) a vector of means for each gene/row. If NULL (default), will be computed using gene_means().
rescale
a logical indicating whether or not to rescale using rescale_samples(). Default is FALSE.
Value
a loess fit object returned by the loess() function.
AllenInstitute/scrattch.hicat documentation built on Oct. 20, 2023, 6:55 a.m.
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| gene_loess_fit | R Documentation |
Compute dispersion-mean Loess-fit for each gene in a gene x sample matrix
Description
Compute dispersion-mean Loess-fit for each gene in a gene x sample matrix
Usage
gene_loess_fit(dat, dispersions = NULL, means = NULL, rescale = FALSE)
Arguments
dat |
a matrix or dg[CT]Matrix of expression values with genes as rows and samples as columns. |
dispersions |
(optional) a vector of dispersions for each gene/row. If NULL (default), will be computed using gene_dispersion(). |
means |
(optional) a vector of means for each gene/row. If NULL (default), will be computed using gene_means(). |
rescale |
a logical indicating whether or not to rescale using rescale_samples(). Default is FALSE. |
Value
a loess fit object returned by the loess() function.
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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