An overview of modern applications of negative binomial modelling in ecology and biodiversity
Negative binomial modelling is one of the most commonly used statistical tools for analysing
count data in ecology and biodiversity research. This is not surprising given the prevalence …
count data in ecology and biodiversity research. This is not surprising given the prevalence …
A review of normalization and differential abundance methods for microbiome counts data
D Swift, K Cresswell, R Johnson… - Wiley …, 2023 - Wiley Online Library
The recent development of cost‐effective high‐throughput DNA sequencing technologies
has tremendously increased microbiome research. However, it has been well documented …
has tremendously increased microbiome research. However, it has been well documented …
Overview of data preprocessing for machine learning applications in human microbiome research
Although metagenomic sequencing is now the preferred technique to study microbiome-host
interactions, analyzing and interpreting microbiome sequencing data presents challenges …
interactions, analyzing and interpreting microbiome sequencing data presents challenges …
Challenges and opportunities in the statistical analysis of multiplex immunofluorescence data
Simple Summary Immune modulation is considered a hallmark of cancer initiation and
progression, and has offered promising opportunities for therapeutic manipulation. Multiplex …
progression, and has offered promising opportunities for therapeutic manipulation. Multiplex …
Bayes factor of zero inflated models under jeffereys prior
Microbiome omics data including 16S rRNA reveal intriguing dynamic associations between
the human microbiome and various disease states. Drastic changes in microbiota can be …
the human microbiome and various disease states. Drastic changes in microbiota can be …
MB-GAN: microbiome simulation via generative adversarial network
Background Trillions of microbes inhabit the human body and have a profound effect on
human health. The recent development of metagenome-wide association studies and other …
human health. The recent development of metagenome-wide association studies and other …
A survey of statistical methods for microbiome data analysis
In the last decade, numerous statistical methods have been developed for analyzing
microbiome data generated from high-throughput next-generation sequencing technology …
microbiome data generated from high-throughput next-generation sequencing technology …
A flexible zero-inflated poisson-gamma model with application to microbiome sequence count data
In microbiome studies, it is of interest to use a sample from a population of microbes, such as
the gut microbiota community, to estimate the population proportion of these taxa. However …
the gut microbiota community, to estimate the population proportion of these taxa. However …
A Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count data
MD Koslovsky - Biometrics, 2023 - academic.oup.com
The Dirichlet-multinomial (DM) distribution plays a fundamental role in modern statistical
methodology development and application. Recently, the DM distribution and its variants …
methodology development and application. Recently, the DM distribution and its variants …
Association of body index with fecal microbiome in children cohorts with ethnic–geographic factor interaction: accurately using a Bayesian zero-inflated negative …
J Huang, Y Lu, F Tian, Y Ni - Msystems, 2024 - journals.asm.org
The exponential growth of high-throughput sequencing (HTS) data on the microbial
communities presents researchers with an unparalleled opportunity to delve deeper into the …
communities presents researchers with an unparalleled opportunity to delve deeper into the …