scRecoverTest {scRecover} | R Documentation

## scRecoverTest: A test dataset for scRecover

### Description

A test dataset containing a single-cell RNA-seq (scRNA-seq) read counts matrix and its cell type information.

### Usage

    data(scRecoverTest)

### Format

- counts. A non-negative integer matrix of scRNA-seq raw read counts, rows are genes and columns are cells.

- labels. A vector of integer specifying the cell types in the read counts matrix, corresponding to the columns of `counts`.

- oneCell. A non-negative vector of scRNA-seq raw read counts of a cell for each gene.

### Details

- counts. A matrix of raw read counts of scRNA-seq data which has 200 genes (rows) and 150 cells (columns).

- labels. A vector of integer specifying the two cell types in `counts`. Also could be generated by: `labels <- c(rep(1,50), rep(2,100))`.

- oneCell. A vector of a cell's raw read counts for 24538 gene.

### Source

Petropoulos S, et al. Cell, 2016, 165(4): 1012-1026.

### See Also

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

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

`countsSampling`, for downsampling the read counts in a cell.

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

### Examples

    # Load test data for scRecover
    data(scRecoverTest)

[Package scRecover version 1.8.0 Index]