A two-stage statistical procedure for feature
selection and comparison in functional analysis of metagenomes:
In the first stage of the
proposed procedure, the informative features are selected using elastic net as
reducing the dimension of metagenomic data; in the
second stage the differentially abundant features are detected using
generalized linear models with a negative binomial distribution.
This is an introduction (README
file) to using the R code for the
proposed method for detection of significantly differentially abundant features
of different metagenomic communities/conditions.
Example data (feature
count and phenotype
info)