decompressDispByGeneMM: Compute mean parameter estimate matrix from mean parameter...

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

Description

Compute mean parameter estimate matrix from mean parameter model for a gene (strDispModel == "MM")

Usage

decompressDispByGeneMM(vecDispModel, lsvecBatchModel = NULL,
  lsDispModelGlobal, vecInterval = NULL)

Arguments

vecDispModel	(numerical vector number of model parameters) Parameters of dispersion model for given gene.
lsvecBatchModel	(list) [Defaul NULL] List of vectors of batch correction models for dispersion parameter.
lsDispModelGlobal	(list) Object containing meta-data of gene-wise dispersion parameter models.
vecInterval	(integer vector length target cells) [Default NULL] Positions of cells in ordering, for which parameters are to be computed. Default all cells.

Value

matDisp (matrix number of cells x number of mixtures) Dispersion parameter estimates for given gene given the mean model.

Author(s)

David Sebastian Fischer

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