Article

Multi-omic modelling of inflammatory bowel disease with regularized canonical correlation analysis

2020-04-22

Abstract excerpt

<h4>Background</h4> Personalized medicine requires finding relationships between variables that influence a patient’s phenotype and predicting an outcome. Sparse generalized canonical correlation analysis identifies relationships between different groups of variables. This method requires establishing a model of the expected interaction between those variables. Describing these interactions is challenging when the...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b2f80bd7-63ee-5c40-9b6a-ec864a7afbbe
DOI: 10.1101/2020.04.16.20031492

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-omic modelling of inflammatory bowel disease with regularized canonical correlation analysisDOI 10.1101/2020.04.16.20031492Read

A Generalized Higher-order Correlation Analysis Framework for Multi-Omics Network InferenceSemantic proximity Read

Identification of shared and disease-specific host gene–microbiome associations across human diseases using multi-omic integrationSemantic proximity Read

Shared and disease-specific host gene-microbiome interactions across human diseasesSemantic proximity Read

Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel diseaseSemantic proximity Read

Integrating multi-OMICS data through sparse canonical correlation analysis for the prediction of complex traits: a comparison study.Semantic proximity Read

Multi-Omics Data Fusion for Cancer Molecular Subtyping Using Sparse Canonical Correlation AnalysisSemantic proximity Read

Poly-omic risk scores predict inflammatory bowel disease diagnosisSemantic proximity Read

CrohnTwin-X: An explainable digital twin framework for predicting postoperative recurrence in Crohn's disease using multi-omics and clinical features.Semantic proximity Read

SmCCNet 2.0: A Comprehensive Tool for Multi-omics Network Inference with Shiny VisualizationSemantic proximity Read

Identifying High-Dimensional Genomic Factors Modulating Biological Networks Across Multi-Omics DataSemantic proximity Read

Poly-omic risk scores predict inflammatory bowel disease diagnosis.Semantic proximity Read

Integrative Transcriptomics and Machine Learning Identify Key Predictive Genes and Pathways in Celiac DiseaseSemantic proximity Read