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

Cancer genomic data analysis (11) Research Methodology - AI (44) Basic Cancer Research (18) Innovations and Technology in Cancer Research (44) Machine Learning (2173) Data Science (374)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70709, first published .
Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study

Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study

Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study

Authors of this article:

Amani Ameen1 Author Orcid Image ;   Nofe Alganmi1, 2 Author Orcid Image ;   Nada Bajnaid1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Wang J, Zhang J, Dai X, Yan C, Fang C. Computational models for pan-cancer classification based on multi-omics data. Frontiers in Genetics 2025;16 View
  2. Elshewey A, Hassan S, Youssef R, El-Bakry H, Osman A. Enhancing breast cancer disease classification based on stacked machine learning models with hybrid Particle Swarm and Grey Wolf Optimization algorithms. Iran Journal of Computer Science 2026;9(1) View