Article

An Improved Deep Learning Algorithm for Breast Cancer Survival Prediction Based on Multi-Omics Data

2026-04-10

Abstract excerpt

<h4>Background: </h4> Breast cancer is a leading cause of mortality among women worldwide. Accurate survival prediction can improve clinical decision-making and support personalized treatment planning. This study aims to develop an interpretable and effective deep learning model for breast cancer survival prediction using multi-omics data. Methods This study proposes a novel deep learning model combining Bi-direct...

Topics

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

Identifiers and source

Literature Corpus work: 1e59a6bf-df84-5afa-bdad-cf0e4ff560c0
DOI: 10.12688/f1000research.166682.3

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An Improved Deep Learning Algorithm for Breast Cancer Survival Prediction Based on Multi-Omics DataDOI 10.12688/f1000research.166682.3Read

An Improved Deep Learning Algorithm for Breast Cancer Survival Prediction Based on Multi-Omics DataSemantic proximity Read

Deep learning based on multi-omics integration identifies potential therapeutic targets in breast cancerSemantic proximity Read

Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data.Semantic proximity Read

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

Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancerSemantic proximity Read

Deep Learning Approach to Identifying Breast Cancer Subtypes Using High-Dimensional Genomic DataSemantic proximity Read

Deep learning–driven multi-omics analysis: enhancing cancer diagnostics and therapeuticsSemantic proximity Read

Integrating multi-omics data through deep learning for accurate cancer prognosis predictionSemantic proximity Read

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

Deep Learning approach for breast cancer discovery Via gene correlationSemantic proximity Read

Deep Learning based multi-omics integration robustly predicts survival in liver cancerSemantic proximity Read

Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classifiedSemantic proximity Read