Description Author(s) References See Also Examples
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 ~~
XIAOLING PENG,GANG LI, ZHENQIU LIU, HONGLIANG CHEN
Maintainer: Hongliang Chen<294236451@qq.com>
Peng Xiaoling, Li Gang, and Liu Zhenqiu. Journal of Computational Biology. January 2016, 23(2): 102-110. doi:10.1089/cmb.2015.0157.
~~ Optional links to other man pages, e.g. ~~
~~ ZIBseq
~~
1 2 3 4 5 6 7 8 9 10 11 12 | ## 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)
|
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