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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,786 papers · 148 categories

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6 results for “IBD”

Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methodsq-bio.QM

Study uses machine learning to identify IBD biomarkers from gut microbiota.

problem Identifying biomarkers for Inflammatory Bowel Disease (IBD) from gut microbiota.

method Ensemble feature selection methods (CMIM, FCBF, mRMR, XGBoost) applied to IBD-associated metagenomics dataset.

result XGBoost minimizes microbiota used for IBD diagnosis, improving classification accuracy.

Inflammatory Bowel Disease Gut Microbiota Machine Learning Feature Selection Classification

2020-01-08abs ↗pdf ↗

A deep learning pipeline for cross-sectional and longitudinal multiview data integrationcs.LG

Pipeline integrates cross-sectional and longitudinal multi-omics data for IBD research.

problem Integrating diverse data types from the same individuals for disease understanding.

method Statistical and deep learning methods for variable selection, feature extraction, and joint integration.

result Identified microbial pathways, metabolites, and genes discriminating IBD status.

deep learning multiomics IBD cross-sectional longitudinal

2023-12-02abs ↗pdf ↗

Sparse Functional Singular Value Decomposition for Biclustering and Triclustering Longitudinal Datastat.ML

Unified method for discovering biclusters and triclusters in longitudinal data.

problem High-dimensional, sparsely sampled, irregularly observed longitudinal data.

method Tri-SfSVD, a unified sparse functional Singular Value Decomposition framework.

result Identified localized structures at the subject, subject-feature, and subject-feature-time levels.

biclustering triclustering longitudinal data functional data sparse penalties

2026-06-03abs ↗pdf ↗

Donor-Aware scRNA-seq Benchmarks for IBD Classificationq-bio.QM

Donor-aware scRNA-seq benchmarks improve classification accuracy in inflammatory bowel disease.

problem Influenza disease classification from scRNA-seq data is prone to donor-level confounding.

method Developed and evaluated three feature representations across two IBD cohorts.

result Compartment-stratified CLR composition and GatedStructuralCFN embeddings outperform linear models in classification accuracy.

scRNA-seq IBD Donor-aware Cross-validation Feature embeddings

2026-05-05abs ↗pdf ↗

Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layerq-bio.QM

Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept of convolution with a filter comes naturally. Unfortunately, the requirement of a distance (or, at least, of a neighbourhood function) in the…

2017-10-16abs ↗pdf ↗

Automatic Detection of Bowel Disease with Residual Networkscs.LG

Crohn's disease, one of two inflammatory bowel diseases (IBD), affects 200,000 people in the UK alone, or roughly one in every 500. We explore the feasibility of deep learning algorithms for identification of terminal ileal Crohn's disease in Magnetic Resonance Enterography images on a small dataset. We show that they …

2019-08-31abs ↗pdf ↗