GetDropoutProbabilities {ADImpute} | R Documentation

## Get dropout probabilities

### Description

`GetDropoutProbabilities` computes dropout probabilities (probability of being a dropout that should be imputed rather than a true biological zero) using an adaptation of scImpute's approach

### Usage

    GetDropoutProbabilities(data, thre, cell.clusters, labels = NULL,
    type = 'count', cores, BPPARAM, genelen = ADImpute::transcript_length)

### Arguments

`data` | matrix; original data before imputation
`thre` | numeric; probability threshold to classify entries as biological zeros
`cell.clusters` | integer; number of cell subpopulations
`labels` | character; vector specifying the cell type of each column of `data`
`type` | A character specifying the type of values in the expression matrix. Can be 'count' or 'TPM'
`cores` | integer; number of cores used for paralell computation
`BPPARAM` | parallel back-end to be used during parallel computation. See `BiocParallelParam-class`.
`genelen` | matrix with at least 2 columns: 'hgnc_symbol' and 'transcript_length'

### Details

This function follows scImpute's model to distinguish between true biological zeros and dropouts, and is based on adapted code from the scImpute R package.

### Value

matrix with same dimensions as `data` containing the dropout probabilities for the corresponding entries

[Package ADImpute version 1.2.0 Index]