scRecoverTest: scRecoverTest: A test dataset for scRecover

In miaozhun/ImputeSingle: scRecover for imputation of single-cell RNA-seq data

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)

miaozhun/ImputeSingle documentation built on Jan. 12, 2023, 8:06 p.m.