LogN {EBSeq} | R Documentation

## The function to run EM (one round) algorithm for the NB-beta model.

### Description

'LogN' specifies the function to run (one round of) the EM algorithm for the NB-beta model.

### Usage

    LogN(Input, InputSP, EmpiricalR, EmpiricalRSP, NumOfEachGroup,
    	AlphaIn, BetaIn, PIn, NoneZeroLength)

### Arguments

`Input, InputSP` | The expressions among all the samples.
`NumOfEachGroup` | Number of genes in each Ng group.
`AlphaIn, PIn, BetaIn, EmpiricalR, EmpiricalRSP` | The parameters from the last EM step.
`NoneZeroLength` | Number of Ng groups.

### Author(s)

Ning Leng

### References

Ning Leng, John A. Dawson, James A. Thomson, Victor Ruotti, Anna I. Rissman, Bart M.G. Smits, Jill D. Haag, Michael N. Gould, Ron M. Stewart, and Christina Kendziorski. EBSeq: An empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics (2013)

### Examples

    #Input = matrix(rnorm(100,100,1), ncol=10)
    #rownames(Input) = paste("g",1:10)
    #RIn = matrix(rnorm(100,200,1), ncol=10)
    #res = LogN(Input, list(Input[,1:5], Input[,6:10]),
    #	RIn, list(RIn[,1:5], RIn[,6:10]),
    #	10, .6, .7, .3, 1)

[Package EBSeq version 1.26.0 Index]