RunLTMG: Run Left-truncated mixed Gaussian

In scapGNN: Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Analysis

Run Left-truncated mixed Gaussian

Description

Functional implementation of Left-truncated mixed Gaussian. The internal functions of the scapGNN package.

Usage

.RunLTMG(object, Gene_use = NULL, k = 5, verbose, seed = 123)

RunLTMG(object, Gene_use = NULL, k = 5, verbose, seed = 123)

## S4 method for signature 'LTMG'
RunLTMG(object, Gene_use = NULL, k = 5, verbose, seed = 123)

Arguments

object	A LTMG object
Gene_use	using X numebr of top variant gene. input a number, recommend 2000.
k	Constant, defaults 5.
verbose	Gives information about each step.
seed	Random number generator seed.

Details

RunLTMG

For more information, please refer to: DOI: 10.1093/nar/gkz655 and https://github.com/zy26/LTMGSCA.

Value

A list contains raw input data and LTMG results.

scapGNN documentation built on Aug. 8, 2023, 9:06 a.m.