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

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 June 6, 2024, 5:31 a.m.