Deep learning in microbiome analysis: a comprehensive review of neural network models
P Przymus, K Rykaczewski, A Martín-Segura… - Frontiers in …, 2025 - frontiersin.org
Microbiome research, the study of microbial communities in diverse environments, has seen
significant advances due to the integration of deep learning (DL) methods. These …
significant advances due to the integration of deep learning (DL) methods. These …
[HTML][HTML] BIOFILM DAIRY FOODS REVIEW: Microbial Community Tracking from Dairy Farm to Factory: Insights on Biofilm Management for Enhanced Food Safety and …
This review aimed to assess the scope of the literature on tracking the microbial community
of biofilms, focusing on the dairy farm and processing environments. The majority of studies …
of biofilms, focusing on the dairy farm and processing environments. The majority of studies …
MetaBakery: a Singularity implementation of bioBakery tools as a skeleton application for efficient HPC deconvolution of microbiome metagenomic sequencing data to …
In this study, we present MetaBakery (http://metabakery. fe. uni-lj. si), an integrated
application designed as a framework for synergistically executing the bioBakery workflow …
application designed as a framework for synergistically executing the bioBakery workflow …
Multi-class boosting for the analysis of multiple incomplete views on microbiome data
Background Microbiome dysbiosis has recently been associated with different diseases and
disorders. In this context, machine learning (ML) approaches can be useful either to identify …
disorders. In this context, machine learning (ML) approaches can be useful either to identify …
Artificial Intelligence and Human Microbiome: A brief narrative review
DC Fonseca, G da Rocha Fernandes… - Clinical Nutrition Open …, 2025 - Elsevier
The human microbiome is a complex ecosystem that influences various functions within the
human body. With technological advancements, microbiome studies have expanded …
human body. With technological advancements, microbiome studies have expanded …
Looking at the full picture, using topic modeling to observe microbiome communities associated with disease
The microbiome, a complex micro-ecosystem, helps the host with various vital physiological
processes. Alterations of the microbiome (dysbiosis) have been linked with several …
processes. Alterations of the microbiome (dysbiosis) have been linked with several …
A comparative study of supervised and unsupervised machine learning algorithms applied to human microbiome
E Kalluçi, B Preni, X Dhamo, E Noka… - La Clinica …, 2024 - clinicaterapeutica.it
BACKGROUND: The human microbiome, consisting of diverse bacterial, fungal, protozoan
and viral species, exerts a profound influence on various physiological processes and …
and viral species, exerts a profound influence on various physiological processes and …
The Use of Machine Learning and Explainable Artificial Intelligence in Gut Microbiome Research: A Scoping Review
Gut microbiome research has made tremendous progress, especially with the integration of
machine learning and artificial intelligence that can provide new insights from complex …
machine learning and artificial intelligence that can provide new insights from complex …
IT-Enabled WGCNA for Critical Gene Module Mapping and Therapy Optimization: Advancing Leukemia Care
Acquiring a profound comprehension of the complex correlation between genes is essential
for progressing treatment and diagnostics in acute leukemia research. This work utilizes …
for progressing treatment and diagnostics in acute leukemia research. This work utilizes …
Development of a personalized multifactorial model for intestinal microbial health evaluation
M Pujolassos Tanyà - 2024 - dspace.uvic.cat
This thesis has been motivated by two research lines in the study of the microbiome that are
completely complementary: the methodology for analysing compositional microbiome data …
completely complementary: the methodology for analysing compositional microbiome data …