Article

Joint Variable Selection for Omic Biomarkers in Time-to-Event Data

2026-05-04

Abstract excerpt

The incidence of the vast majority of neurodegenerative, cancer, and metabolic diseases generally increases exponentially with age. In large-scale biobanks, linking time-to-diagnosis information in electronic health records to multiple genomic (“multiomics”) measures has the potential to reveal the genes and biological pathways involved in the disease onset and progression. To date, association testing has commonl...

Topics

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

Identifiers and source

Literature Corpus work: c7b36bda-9083-5149-96db-28fe6e57f13f
DOI: 10.64898/2026.04.30.721585

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Joint Variable Selection for Omic Biomarkers in Time-to-Event DataDOI 10.64898/2026.04.30.721585Read

EIRsurvival: Deep Learning-based time-to-event analysis on high-dimensional genotype and multi-omics dataSemantic proximity Read

Multi-omics integration predicts 17 disease incidences in the UK BiobankSemantic proximity Read

Machine learning-guided deconvolution of plasma protein levelsSemantic proximity Read

Multi-kernel linear mixed model with adaptive lasso for prediction analysis on high-dimensional multi-omics data.Semantic proximity Read

Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis.Semantic proximity Read

Disease prediction with multi-omics and biomarkers empowers case-control genetic discoveries in the UK Biobank.Semantic proximity Read

Integrative machine learning approaches for predicting disease risk using multi-omics data from the UK BiobankSemantic proximity Read

An integrated Bayesian framework for multi-omics prediction and classificationSemantic proximity Read

Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.Semantic proximity Read

Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysisSemantic proximity Read

Novel discoveries and enhanced genomic prediction from modelling genetic risk of cancer age-at-onsetSemantic proximity Read

Tutorial on survival modeling with applications to omics dataSemantic proximity Read