EstPrior: Estimate size and mu for Negative Binomial distribution for...
In bayNorm: Single-cell RNA sequencing data normalization

Description Usage Arguments Details Value Examples

Input raw data and return estimated size and mu for each gene using the MME method.

1	EstPrior(Data, verbose = TRUE)

`Data`	A matrix of single-cell expression where rows are genes and columns are samples (cells). `Data` can be of class `SummarizedExperiment` (the assays slot contains the expression matrix, is named "Counts"), just `matrix` or sparse matrix.
`verbose`	print out status messages. Default is TRUE.

mu and size are two parameters of the prior that need to be specified for each gene in bayNorm. They are parameters of negative binomial distribution. The variance is mu + mu^2/size in this parametrization.

List containing estimated mu and size for each gene.

data('EXAMPLE_DATA_list')
#Return estimated mu and size for each gene using MME method.
MME_est<-EstPrior(Data=EXAMPLE_DATA_list$inputdata[,seq(1,30)],
verbose=TRUE)