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

Cancer genomic data analysis (12) Research Methodology - AI (48) Basic Cancer Research (19) Innovations and Technology in Cancer Research (46) Machine Learning (2229) Data Science (390)

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 (3) 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

Conference Proceedings

  1. Makome M, Ogunleye O. 2025 5th International Multidisciplinary Information Technology and Engineering Conference (IMITEC). Leveraging Machine Learning and Big Data Analytics to Transform Service Delivery in Public Healthcare View