calcPostDrop_Matrix: Calculate posterior of drop-out

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

Description

Calculates posterior of observation being a drop-out for a matrix.

Usage

calcPostDrop_Matrix(matCounts, lsMuModel, lsDispModel, lsDropModel,
  vecIDs = NULL)

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.
vecIDs	(vector of strings) [Default NULL] Gene IDs for which posteriors of drop-out are to be computed.

Value

matZ (numeric matrix genes x cells) Posterior probability of observation not being generated by drop-out.

Author(s)

David Sebastian Fischer

See Also

Called by plotGene.

YosefLab/LineagePulse documentation built on May 6, 2019, 2:19 p.m.