NCJ Number
255160
Journal
Nature Biotechnology Dated: 2020
Date Published
2020
Length
12 pages
Annotation
Since the translational power of human microbiome studies is limited by high interindividual variation, this article describes a dimensionality reduction tool, compositional tensor factorization (CTF), that incorporates information from the same host across multiple samples to reveal patterns driving differences in microbial composition across phenotypes.
Abstract
CTF identifies robust patterns in sparse compositional datasets, allowing for the detection of microbial changes associated with specific phenotypes that are reproducible across datasets. (publisher abstract modified)
Date Published: January 1, 2020
Downloads
Similar Publications
- Effect of yarn structure on wicking and its impact on bloodstain pattern analysis (BPA) on woven cotton fabrics
- Application of X-ray photoelectron spectroscopy to examine surface chemistry of cancellous bone and medullary contents to refine bone sample selection for nuclear DNA analysis
- Revisiting the STRmix™ likelihood ratio probability interval coverage considering multiple factors