normalizeCounts {celda} | R Documentation

## Normalization of count data

### Description

Performs normalization, transformation, and/or scaling of a counts matrix

### Usage

    normalizeCounts(
      counts,
      normalize = c("proportion", "cpm", "median", "mean"),
      scaleFactor = NULL,
      transformationFun = NULL,
      scaleFun = NULL,
      pseudocountNormalize = 0,
      pseudocountTransform = 0
    )

### Arguments

`counts` | Integer, Numeric or Sparse matrix. Rows represent features and columns represent cells.
`normalize` | Character. Divides counts by the library sizes for each cell. One of 'proportion', 'cpm', 'median', or 'mean'. 'proportion' uses the total counts for each cell as the library size. 'cpm' divides the library size of each cell by one million to produce counts per million. 'median' divides the library size of each cell by the median library size across all cells. 'mean' divides the library size of each cell by the mean library size across all cells.
`scaleFactor` | Numeric. Sets the scale factor for cell-level normalization. This scale factor is multiplied to each cell after the library size of each cell had been adjusted in `normalize`. Default `NULL` which means no scale factor is applied.
`transformationFun` | Function. Applys a transformation such as sqrt, log, log2, log10, or log1p. If NULL, no transformation will be applied. Occurs after normalization. Default NULL.
`scaleFun` | Function. Scales the rows of the normalized and transformed count matrix. For example, 'scale' can be used to z-score normalize the rows. Default NULL.
`pseudocountNormalize` | Numeric. Add a pseudocount to counts before normalization. Default 0.
`pseudocountTransform` | Numeric. Add a pseudocount to normalized counts before applying the transformation function. Adding a pseudocount can be useful before applying a log transformation. Default 0.

### Value

Numeric Matrix. A normalized matrix.

### Examples

    data(celdaCGSim)
    normalizedCounts <- normalizeCounts(celdaCGSim$counts, "proportion",
      pseudocountNormalize = 1)

[Package celda version 1.8.1 Index]