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
- Evaluating Cross-reactivity of New Psychoactive Substances (NPS) in Human Whole Blood by Enzyme-linked Immunosorbent Assay (ELISA)
- Nuclear DNA from Rootless Hair for Forensic Purposes
- Switch-on Near Infrared Emission in Albumin Behind Dark Fabric: Toward Application in Forensic Latent Bloodstain Detection