SubsetData {IRISFGM} | R Documentation

## SubsetData

### Description

This function is used for filtering out low-quality data based on previous result generated from `PlotMeta`

### Usage

    SubsetData(object, ...)

    .subset_data(
      object,
      nFeature.upper = Inf,
      nFeature.lower = -Inf,
      Counts.upper = Inf,
      Counts.lower = -Inf
    )

    ## S4 method for signature 'IRISFGM'
    SubsetData(
      object,
      nFeature.upper = Inf,
      nFeature.lower = -Inf,
      Counts.upper = Inf,
      Counts.lower = -Inf
    )

### Arguments

`object` | input IRIS-FGM object
`...` | other arguments passed to methods
`nFeature.upper` | select upper limit for number of feature
`nFeature.lower` | select lower limit for number of feature
`Counts.upper` | select upper limit for number of UMI counts
`Counts.lower` | select lower limit for number of UMI counts

### Value

it will filter out some cell regarding threshhold.

### Examples

    # Use Yan's data which posts on github tutorial
    data("example_object")
    example_object <- SubsetData(example_object,
        nFeature.upper=15000,
        nFeature.lower=8000,
        Counts.upper=700000,
        Counts.lower=400000)

[Package IRISFGM version 1.2.0 Index]