ProcessData {IRISFGM} | R Documentation

## ProcessData

### Description

Process data via normalization and imputation.

### Usage

    ProcessData(object, ...)

    .processData(
      object = NULL,
      normalization = "cpm",
      library.size = 1e+05,
      IsImputation = FALSE
    )

    ## S4 method for signature 'IRISFGM'
    ProcessData(
      object = NULL,
      normalization = "cpm",
      library.size = 1e+05,
      IsImputation = FALSE
    )

### Arguments

`object` | Input IRISFGM object
`...` | other arguments passed to methods
`normalization` | two options: (1)library size noralization by using library size factor: 1e6, equal to CPM (count-per-million-reads), or (2) using 'scran' normalization method.
`library.size` | Sets the scale factor for cpm normalization
`IsImputation` | imputation method is provided by DrImpute. Default is FALSE.

### Value

It will processdata by normalization and imputation.

### Examples

    data("example_object")
    example_object <- ProcessData(example_object,
    normalization = "cpm")

[Package IRISFGM version 1.2.0 Index]