countsSampling {scRecover} | R Documentation

## countsSampling: Downsampling the read counts in a cell

### Description

This function is used to downsample the read counts in a cell for single-cell RNA-seq (scRNA-seq) data. It takes a non-negative vector of scRNA-seq raw read counts of a cell as input.

### Usage

    countsSampling(counts, fraction = 0.1)

### Arguments

`counts` | A cell's raw read counts for each gene, could be a vector or a SingleCellExperiment object.
`fraction` | Fraction of reads to be downsampled, should be between 0-1, default is 0.1.

### Value

A vector of the downsampled read counts of each gene in the cell.

### Author(s)

Zhun Miao.

### See Also

`scRecover`, for imputation of single-cell RNA-seq data.

`estDropoutNum`, for estimating dropout gene number in a cell.

`normalization`, for normalization of single-cell RNA-seq data.

`scRecoverTest`, a test dataset for scRecover.

### Examples

    # Load test data
    data(scRecoverTest)

    # Downsample the read counts in oneCell
    oneCell.down <- countsSampling(counts = oneCell, fraction = 0.1)

[Package scRecover version 1.8.0 Index]