Statistical challenges in longitudinal microbiome data analysis
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 …
interdependently within an ecosystem, and interact with its host or environment. Longitudinal …
[HTML][HTML] Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
F Jáñez-Martino, R Alaiz-Rodríguez… - Applied Soft …, 2023 - Elsevier
Spam emails are unsolicited, annoying and sometimes harmful messages which may
contain malware, phishing or hoaxes. Unlike most studies that address the design of efficient …
contain malware, phishing or hoaxes. Unlike most studies that address the design of efficient …
Recurrent urinary tract infection and estrogen shape the taxonomic ecology and function of the postmenopausal urogenital microbiome
Postmenopausal women are severely affected by recurrent urinary tract infection (rUTI). The
urogenital microbiome is a key component of the urinary environment. However, changes in …
urogenital microbiome is a key component of the urinary environment. However, changes in …
Bayesian modeling of spatial molecular profiling data via Gaussian process
Motivation The location, timing and abundance of gene expression (both mRNA and
proteins) within a tissue define the molecular mechanisms of cell functions. Recent …
proteins) within a tissue define the molecular mechanisms of cell functions. Recent …
A Bayesian zero-inflated negative binomial regression model for the integrative analysis of microbiome data
Microbiome omics approaches can reveal intriguing relationships between the human
microbiome and certain disease states. Along with identification of specific bacteria taxa …
microbiome and certain disease states. Along with identification of specific bacteria taxa …
Decision‐making support for the evaluation of clustering algorithms based on MCDM
In many disciplines, the evaluation of algorithms for processing massive data is a
challenging research issue. However, different algorithms can produce different or even …
challenging research issue. However, different algorithms can produce different or even …
HARMONIES: a hybrid approach for microbiome networks inference via exploiting sparsity
The human microbiome is a collection of microorganisms. They form complex communities
and collectively affect host health. Recently, the advances in next-generation sequencing …
and collectively affect host health. Recently, the advances in next-generation sequencing …
Bayesian clustering of multiple zero-inflated outcomes
B Franzolini, A Cremaschi… - … of the Royal …, 2023 - royalsocietypublishing.org
Several applications involving counts present a large proportion of zeros (excess-of-zeros
data). A popular model for such data is the hurdle model, which explicitly models the …
data). A popular model for such data is the hurdle model, which explicitly models the …
A Bayesian semiparametric regression model for joint analysis of microbiome data
J Lee, M Sison-Mangus - Frontiers in microbiology, 2018 - frontiersin.org
The successional dynamics of microbial communities are influenced by the synergistic
interactions of physical and biological factors. In our motivating data, ocean microbiome …
interactions of physical and biological factors. In our motivating data, ocean microbiome …
An interpretable Bayesian clustering approach with feature selection for analyzing spatially resolved transcriptomics data
Recent breakthroughs in spatially resolved transcriptomics (SRT) technologies have
enabled comprehensive molecular characterization at the spot or cellular level while …
enabled comprehensive molecular characterization at the spot or cellular level while …