A Phylogeny-Regularized Sparse Regression Model for Predictive Modeling of Microbial Community Data.

ABSTRACT: Fueled by technological advancement, there has been a surge of human microbiome studies surveying the microbial communities associated with the human body and their links with health and disease. As a complement to the human genome, the human microbiome holds great potential for precision medicine. Efficient predictive models based on microbiome data could be potentially used in various clinical applications such as disease diagnosis, patient stratification and drug response prediction. One important characteristic of the microbial community data is the phylogenetic tree that relates all the microbial taxa based on their evolutionary history. The phylogenetic tree is an informative prior for more efficient prediction since the microbial community changes are usually not randomly distribute

SUBMITTER: Xiao J 

PROVIDER: S-EPMC6305753 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature