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This paper is in the following e-collection/theme issue:

Cancer genomic data analysis (20) Clinical Information and Decision Making (3808) Obstetrics, Gynecology, and Reproductive Medicine (423) Genomics and Bioinformatics for Clinical Use (117) Precision Medicine and Genetics (107) Machine Learning (3272) Data Science (715) Genome Analysis and Visualization (27) Cancer Prognosis Models and Machine Learning (142)

Published on in Vol 7 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89069, first published .
Doctor presents tablet showing ovarian cancer multi-omics survival stratification.

Deep Generative and Graph-Based Representation Learning for Multiomics Survival Stratification in Ovarian Cancer: Secondary Analysis

Deep Generative and Graph-Based Representation Learning for Multiomics Survival Stratification in Ovarian Cancer: Secondary Analysis

Authors of this article:

Carlos Marino1, 2 Author Orcid Image ;   Claudia Diaz Paz1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Carlos Marino   1, 2 , PhD ;   Claudia Diaz Paz   1, 2 , DBA, MPhil

1 Pontificia Universidad Católica del Perú, Lima, Peru

2 CENTRUM Católica Graduate Business School, Lima, Peru

Corresponding Author:

  • Carlos Marino, PhD
  • CENTRUM Católica Graduate Business School
  • Jirón Daniel Alomía Robles 125
  • Lima 15023
  • Peru
  • Phone: 51 626 7100
  • Email: cmarino@pucp.pe