correct_counts {sctransform}R Documentation

Correct data by setting all latent factors to their median values and reversing the regression model

Description

This version does not need a matrix of Pearson residuals. It takes the count matrix as input and calculates the residuals on the fly. The corrected UMI counts will be rounded to the nearest integer and negative values clipped to 0.

Usage

correct_counts(x, umi, cell_attr = x$cell_attr, show_progress = TRUE)

Arguments

x

A list that provides model parameters and optionally meta data; use output of vst function

umi

The count matrix

cell_attr

Provide cell meta data holding latent data info

show_progress

Whether to print progress bar

Value

Corrected data as UMI counts

Examples

vst_out <- vst(pbmc, return_cell_attr = TRUE)
umi_corrected <- correct_counts(vst_out, pbmc)


[Package sctransform version 0.2.0 Index]