A logistic normal multinomial regression model for microbiome compositional data analysis
Changes in human microbiome are associated with many human diseases. Next generation
sequencing technologies make it possible to quantify the microbial composition without the …
sequencing technologies make it possible to quantify the microbial composition without the …
Zero-inflated generalized Dirichlet multinomial regression model for microbiome compositional data analysis
There is heightened interest in using high-throughput sequencing technologies to quantify
abundances of microbial taxa and linking the abundance to human diseases and traits …
abundances of microbial taxa and linking the abundance to human diseases and traits …
[HTML][HTML] Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis
With the development of next generation sequencing technology, researchers have now
been able to study the microbiome composition using direct sequencing, whose output are …
been able to study the microbiome composition using direct sequencing, whose output are …
[HTML][HTML] Statistical analysis of metagenomics data
ML Calle - Genomics & informatics, 2019 - ncbi.nlm.nih.gov
Understanding the role of the microbiome in human health and how it can be modulated is
becoming increasingly relevant for preventive medicine and for the medical management of …
becoming increasingly relevant for preventive medicine and for the medical management of …
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data
Motivation: The human microbial communities are associated with many human diseases
such as obesity, diabetes and inflammatory bowel disease. High-throughput sequencing …
such as obesity, diabetes and inflammatory bowel disease. High-throughput sequencing …
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data
Abstract Background The Human Microbiome has been variously associated with the
immune-regulatory mechanisms involved in the prevention or development of many non …
immune-regulatory mechanisms involved in the prevention or development of many non …
Generalized linear models with linear constraints for microbiome compositional data
Motivated by regression analysis for microbiome compositional data, this article considers
generalized linear regression analysis with compositional covariates, where a group of …
generalized linear regression analysis with compositional covariates, where a group of …
A marginalized two-part Beta regression model for microbiome compositional data
In microbiome studies, an important goal is to detect differential abundance of microbes
across clinical conditions and treatment options. However, the microbiome compositional …
across clinical conditions and treatment options. However, the microbiome compositional …
Comparative metagenomic analysis of human gut microbiome composition using two different bioinformatic pipelines
V D'Argenio, G Casaburi, V Precone… - BioMed research …, 2014 - Wiley Online Library
Technological advances in next‐generation sequencing‐based approaches have greatly
impacted the analysis of microbial community composition. In particular, 16S rRNA‐based …
impacted the analysis of microbial community composition. In particular, 16S rRNA‐based …
Kernel methods for regression analysis of microbiome compositional data
With the development of next generation sequencing technologies, the human microbiome
can now be studied using direct DNA sequencing. Many human diseases have been shown …
can now be studied using direct DNA sequencing. Many human diseases have been shown …