A two-stage statistical procedure for feature selection and comparison in functional analysis of metagenomes.

ABSTRACT:

Motivation

With the advance of new sequencing technologies producing massive short reads data, metagenomics is rapidly growing, especially in the fields of environmental biology and medical science. The metagenomic data are not only high dimensional with large number of features and limited number of samples but also complex with a large number of zeros and skewed distribution. Efficient computational and statistical tools are needed to deal with these unique characteristics of metagenomic sequencing data. In metagenomic studies, one main objective is to assess whether and how multiple microbial communities differ under various environmental conditions.

Results

We propose a two-stage statistical procedure for selecting informative features and identifying differentially abun

SUBMITTER: Pookhao N 

PROVIDER: S-EPMC4287949 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature