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 1.2.0 Index]