RunClassification: RunClassification

In carter-allen/IRISFGM: Comprehensive Analysis of Gene Interactivity Networks Based on Single-Cell RNA-Seq

Description

This function is based on Seurat package.

Usage

RunClassification(object, ...)

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

## S4 method for signature 'IRISFGM'
RunClassification(
  object,
  dims = 1:15,
  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

## Not run: 
object <- RunClassification(object, 
dims = 1:15,
k.param = 20, 
resolution = 0.6,
algorithm = 1)
## End(Not run)

carter-allen/IRISFGM documentation built on Dec. 31, 2020, 9:54 p.m.