decompressMeansByGene: Compute mean parameter estimates from mean parameter model...

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

Description

Takes the model type and computes one mean parameter for each cell for one gene.

Usage

decompressMeansByGene(vecMuModel, lsvecBatchModel = NULL, lsMuModelGlobal,
  vecInterval = NULL)

Arguments

vecMuModel	(numerical vector number of model parameters) Parameters of mean model for given gene.
lsvecBatchModel	(list) List of vectors of batch correction models for mean parameter.
lsMuModelGlobal	(list) Object containing meta-data of gene-wise mean 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

vecMu (numerical vector number of cells) Mean parameter estimates for given gene given the mean model.

Author(s)

David Sebastian Fischer

See Also

Called by fitZINB.

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