RunClassification {IRISFGM} | R Documentation

## RunClassification

### Description

This function is based on Seurat package.

### Usage

    RunClassification(object, ...)

    .runClassification(
      object,
      dims = seq_len(15),
      k.param = 20,
      resolution = 0.6,
      algorithm = 1
    )

    ## S4 method for signature 'IRISFGM'
    RunClassification(
      object,
      dims = seq_len(15),
      k.param = 20,
      resolution = 0.6,
      algorithm = 1
    )

### Arguments

`object` | input IRIS-FGM object.
`...` | other arguments passed to methods
`dims` | Dimensions of reduction to use as input.
`k.param` | Defines k for the k-nearest neighbor algorithm.
`resolution` | Value of the resolution parameter, use a value above (below) 1.0 if you want to obtain a larger (smaller) number of communities.
`algorithm` | Algorithm for modularity optimization (1 = original Louvain algorithm; 2 = Louvain algorithm with multilevel refinement; 3 = SLM algorithm; 4 = Leiden algorithm). Leiden requires the leidenalg python.

### Value

It will generate cell type inforamtion.

### Examples

    data(example_object)
    example_object <- RunClassification(example_object,
    dims = 1:15,
    k.param = 20,
    resolution = 0.6,
    algorithm = 1)

[Package IRISFGM version 1.2.0 Index]