ZIBseq-package: Identify differentially abundant features

In ZIBseq: Differential Abundance Analysis for Metagenomic Data via Zero-Inflated Beta Regression

Description

Detects abundance differences across clinical conditions. Besides, it takes the sparse nature of metagenomic data into account and handles compositional data efficiently.

Index: This package was not yet installed at build time.
~~ An overview of how to use the package, including the most important functions ~~

Author(s)

XIAOLING PENG,GANG LI, ZHENQIU LIU, HONGLIANG CHEN

Maintainer: Hongliang Chen<[e-mail]>

References

Peng Xiaoling, Li Gang, and Liu Zhenqiu. Journal of Computational Biology. January 2016, 23(2): 102-110. doi:10.1089/cmb.2015.0157.

See Also

~~ Optional links to other man pages, e.g. ~~ ~~ ZIBseq ~~

Examples

## Not run: 
data(testdata)
x=testdata[,9:248]
p=dim(x)[2]
for (i in 1:p){x[,i]=as.numeric(as.character(x[,i]))}
gr=testdata[,2]
gr=as.numeric(gr)
gr[which(gr<4)]=0
gr[which(gr==4)]=1
result=ZIBseq(data=x,outcome=gr)

## End(Not run)

ZIBseq documentation built on May 2, 2019, 3:37 p.m.