RunLTMG {IRISFGM}R Documentation

RunLTMG

Description

We will use Left-truncated Mixture Gaussian distribution to model the regulatory signal of each gene. Parameter, 'Gene_use', decides number of top high variant gene for LTMG modeling, and here we use all genes.

Usage

RunLTMG(object, ...)

.RunLTMG(object, Gene_use = NULL, k = 5)

## S4 method for signature 'IRISFGM'
RunLTMG(object, Gene_use = NULL, k = 5)

Arguments

object

Input IRIS-FGM object

...

other arguments passed to methods

Gene_use

using X numebr of top variant gene. input a number, recommend 2000.

k

Number of components.

Value

it will reture a LTMG signal matrix

Examples

# If you want to explore DEG, we recommend you should use top 2000 highly variant gene. 
data("example_object")
example_object <- RunLTMG(example_object,
Gene_use = "200",
k = 5)


[Package IRISFGM version 1.1.1 Index]