Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization

Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization

Abstract Background Microbiome studies have uncovered associations between microbes and human, animal, and plant health outcomes. This has led to an interest in developing microbial interventions for treatment of disease and optimization of crop yields which requires identification of microbiome fea...

Full description

Bibliographic Details
Main Authors: Emily Goren, Chong Wang, Zhulin He, Amy M. Sheflin, Dawn Chiniquy, Jessica E. Prenni, Susannah Tringe, Daniel P. Schachtman, Peng Liu
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Bioinformatics
Subjects:
High-dimensional feature selection
Microbiome analysis
Next-generation sequencing
Standardization
Causal inference
Online Access:https://doi.org/10.1186/s12859-021-04232-2

Internet

https://doi.org/10.1186/s12859-021-04232-2

Similar Items