fitPi: Global wrapper for fitting of all drop-out models

In LineagePulse: Differential expression analysis and model fitting for single-cell RNA-seq data

Description

This function fits all drop-out models required on this data set.

Usage

fitPi(matCounts, lsMuModel, lsDispModel, lsDropModel)

Arguments

matCounts	(count matrix genes x cells) Observed read counts, not observed are NA.
lsMuModel	(list) Object containing description of gene-wise mean parameter models.
lsDispModel	(list) Object containing description of gene-wise dispersion parameter models.
lsDropModel	(list) Object containing description of cell-wise drop-out parameter models.

Value

vecLinModel (numeric vector length linear model) Linear model for drop-out rate in logit space for given cell.

Author(s)

David Sebastian Fischer

See Also

Called by ZINB fitting wrapper fitModel. Calls optim wrapper fitPi_ManyCells or fitPi_SingleCell.

LineagePulse documentation built on Nov. 8, 2020, 7:01 p.m.