normalization {scRecover} | R Documentation

## normalization: Normalization for single-cell RNA-seq data

### Description

This function is used to normalize single-cell RNA-seq (scRNA-seq) data. It takes a non-negative matrix of scRNA-seq raw read counts or a `SingleCellExperiment` object as input.

### Usage

    normalization(counts)

### Arguments

`counts` | A non-negative integer matrix of scRNA-seq raw read counts or a `SingleCellExperiment` object which contains the read counts matrix. The rows of the matrix are genes and columns are samples/cells.

### Value

A normalized scRNA-seq read counts matrix.

### Author(s)

Zhun Miao.

### 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.

`scRecoverTest`, a test dataset for scRecover.

### Examples

    # Load test data
    data(scRecoverTest)

    # Normalization of counts
    counts.norm <- normalization(counts = counts)

[Package scRecover version 1.8.0 Index]