sctransform

Compare gene expression between two groups

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

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

Non-parametric differential expression test for sparse non-negative data

Generate data from regularized models.

Return average variance under negative binomial model

Return variance of residuals of regularized models

Return Pearson or deviance residuals of regularized models

Identify outliers

Peripheral Blood Mononuclear Cells (PBMCs)

Plot observed UMI counts and model

Plot estimated and fitted model parameters

Robust scale using median and mad

Robust scale using median and mad per bin

Geometric mean per row

Variance per row

Smooth data by PCA

Variance stabilizing transformation for UMI count data