Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods

19 Feb 2024

Abstract excerpt

Gut microbes is a crucial factor in the pathogenesis of type 1 diabetes (T1D). However, it is still unclear which gut microbiota are the key factors affecting T1D and their influence on the development and progression of the disease. To fill these knowledge gaps, we constructed a model to find biomarker from gut microbiota in patients with T1D. We first identified microbial markers using Linear discriminant...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Diet and metabolism studies
Share to Diet, Metabolism, and Disease
Share to Gut microbiota and health

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38376798
DOI: 10.1093/bfgp/elae004

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methodsPMID 38376798Read ↗

Discovering Potential Taxonomic Biomarkers of Type 2 Diabetes From Human Gut Microbiota via Different Feature Selection MethodsSemantic proximity Read ↗

A neural network-based framework to understand the Type 2 Diabetes (T2D)-related alteration of the human gut microbiomeSemantic proximity Read ↗

Insights of Host Physiological Parameters and Gut Microbiome of Indian Type 2 Diabetic Patients Visualized via Metagenomics and Machine Learning ApproachesSemantic proximity Read ↗

Gut Microbiota and Type 2 Diabetes: Genetic Associations, Biological Mechanisms, Drug Repurposing, and Diagnostic Modeling.Semantic proximity Read ↗

Gut Microbiome-Based Diagnostic Model to Predict Diabetes MellitusSemantic proximity Read ↗

A network perspective on the ecology of gut microbiota and progression of Type 2 Diabetes: linkages to keystone taxa in a Mexican cohortSemantic proximity Read ↗

Fecal Microbiota Composition, Their Interactions, and Metagenome Function in US Adults with Type 2 Diabetes According to EnterotypesSemantic proximity Read ↗

Gut Bacterial Characteristics of Patients With Type 2 Diabetes Mellitus and the Application PotentialSemantic proximity Read ↗

Systems Biology of Human Microbiome for the Prediction of Personal Glycaemic ResponseSemantic proximity Read ↗

Prediction of functional profiles of gut microbiota from 16S rRNA metagenomic data provides a more robust evaluation of gut dysbiosis occurring in Japanese type 2 diabetic patientsSemantic proximity Read ↗

A core microbiome signature as an indicator of healthSemantic proximity Read ↗

Gut microbiota characteristics and its biological function analysis in patients with tuberculosis and diabetes mellitus co-morbiditySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.