Article

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

2025-03-06

Abstract excerpt

Motivation: Time-to-event data in disease occurrence is often right-censored, requiring survival models for accurate predictions. While deep learning advancements have extended traditional Cox models, current approaches do not allow modeling on individual-level, large-scale genotype data. Scalable models integrating genetic and clinical data could enhance precision medicine and disease prediction. <h4>Results:</h4...

Topics

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

Identifiers and source

Literature Corpus work: ea0aa1dd-1e1a-5b34-b757-7093d62176a0
DOI: 10.1101/2025.03.05.25323428

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

EIRsurvival: Deep Learning-based time-to-event analysis on high-dimensional genotype and multi-omics dataDOI 10.1101/2025.03.05.25323428Read

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

Scalable and accurate rare-variant association tests for whole genome sequencing time-to-event analysis in large biobanks.Semantic proximity Read

PRSformer: Disease Prediction from Million-Scale Individual GenotypesSemantic proximity Read

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival modelsSemantic proximity Read

Joint Variable Selection for Omic Biomarkers in Time-to-Event DataSemantic proximity Read

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics dataSemantic proximity Read

Machine learning based disease prediction from genotype data.Semantic proximity Read

AUTOSurv: Interpretable Deep Learning Framework for Cancer Survival Analysis Incorporating Clinical and Multi-omics DataSemantic proximity Read

IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profilesSemantic proximity Read

A Fast and Accurate Method for Genome-Wide Time-to-Event Data Analysis and Its Application to UK Biobank.Semantic proximity Read

predicTTE: An accessible and optimal tool for time-to-event prediction in neurological diseasesSemantic proximity Read

DIVAN: accurate identification of non-coding disease-specific risk variants using multi-omics profiles.Semantic proximity Read