Machine Learning Techniques Accurately Classify Microbial Communities by Bacterial Vaginosis Characteristics

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Bacterial Communities in Women with Bacterial Vaginosis: High Resolution Phylogenetic Analyses Reveal Relationships of Microbiota to Clinical Criteria

(2012) Sujatha Srinivasan et al.   PLoS One

Inferring Correlation Networks from Genomic Survey Data

(2012) Jonathan Friedman et al.   PLoS Computational Biology

Vaginal microbiome and sexually transmitted infections: an epidemiologic perspective

(2011) Rebecca M. Brotman   JOURNAL OF CLINICAL INVESTIGATION

pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree

(2010) Frederick A Matsen et al.   BMC BIOINFORMATICS

Molecular analysis of the diversity of vaginal microbiota associated with bacterial vaginosis

(2010) Xin Z Ling et al.   BMC GENOMICS

Vaginal microbiome of reproductive-age women

(2010) J. Ravel et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A polymicrobial perspective of pulmonary infections exposes an enigmatic pathogen in cystic fibrosis patients

(2008) C. D. Sibley et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA