Correlation and association analyses in microbiome study integrating multiomics in health and disease

Y Xia - Progress in molecular biology and translational …, 2020 - Elsevier
Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …

Statistical challenges in longitudinal microbiome data analysis

S Kodikara, S Ellul, KA Lê Cao - Briefings in Bioinformatics, 2022 - academic.oup.com
The microbiome is a complex and dynamic community of microorganisms that co-exist
interdependently within an ecosystem, and interact with its host or environment. Longitudinal …

Gut microbiome signatures and host colonization with multidrug-resistant bacteria

NS Isles, A Mu, JC Kwong, BP Howden… - Trends in Microbiology, 2022 - cell.com
The human gut is host to a diverse range of microorganisms that offer protection against
colonization by multidrug-resistant bacteria. Antibiotic use, medications, health conditions …

Enterococcus faecium: evolution, adaptation, pathogenesis and emerging therapeutics

Y Wei, D Palacios Araya, KL Palmer - Nature Reviews Microbiology, 2024 - nature.com
The opportunistic pathogen Enterococcus faecium colonizes humans and a wide range of
animals, endures numerous stresses, resists antibiotic treatment and stubbornly persists in …

Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network

Y Jia, S Zheng, T He, X Jiang - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Despite profound impacts on human health and nature, accurately predicting microbe-
metabolite interactions remains challenging due to inherent data noise. This study applies …

Revisiting microbe-metabolite interactions: Doing better than random

JT Morton, D McDonald, AA Aksenov, LF Nothias… - bioRxiv, 2019 - biorxiv.org
I. ABSTRACT Recently, Quinn and Erb et al made the case that when used correctly,
correlation and proportionality can outperform MMvec when identifying microbe-metabolite …