AttenGene: A Deep Learning Model for Gene Selection in PDAC Classification Using Autoencoder and Attention Mechanism for Precision Oncology
- Authors
-
-
Dr. Farhana Haque
Independent University, Bangladesh
Author
-
- Keywords:
- Pancreatic Ductal Adenocarcinoma (PDAC), Deep learning (DL), Gene selection, Autoencoder, Attention mechanism, Precision oncology, High-dimensional data.
- Cover Image
-
- Downloads
- Published
- 31-12-2024
- Issue
- Vol. 10 No. 3 (2024)
- Section
- Articles
- License
-
Copyright (c) 2024 Journal of Medical and Biomedical Science
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
1.
Dr. Farhana Haque. AttenGene: A Deep Learning Model for Gene Selection in PDAC Classification Using Autoencoder and Attention Mechanism for Precision Oncology. J MED BIOMED SCI [Internet]. 2024 Dec. 31 [cited 2026 Mar. 29];10(3):1-25. Available from: https://jmbs.udsonline.org/gh/article/view/11
Similar Articles
- Dr. Josephine Adjei, Dr. Daniel K. Owusu, Dr. Patience Owolabi, The Role of Artificial Intelligence in Endodontics: Advancements, Applications, and Future Prospects , Journal of Medical and Biomedical Science: Vol. 10 No. 1 (2024)
- Prof. Rosmah Binti Latif, Green AI in Oncology: Toward Energy-Efficient and Accurate Cancer Diagnostics , Journal of Medical and Biomedical Science: Vol. 10 No. 1 (2024)
- Dr. Li Wei, Revolutionizing Healthcare Delivery: The Role of AI and Machine Learning in Personalized Medicine and Predictive Analytics , Journal of Medical and Biomedical Science: Vol. 10 No. 2 (2024)
- Dr. Siti Zubaidah Binti Hassan, Dr. Muhammad Hafiz Bin Abdullah, Dr. Nurul Huda Binti Zainal, Cardio Insights: Heart Disease Prediction Using Machine Learning Algorithms , Journal of Medical and Biomedical Science: Vol. 10 No. 3 (2024)
- Dr. Nurul Ain Binti Shaharuddin, Dr. Muhammad Irfan Bin Salleh, Green AI for Cancer Diagnosis: Sustainable Approaches in Computational Pathology and Medical Imaging , Journal of Medical and Biomedical Science: Vol. 11 No. 1 (2025)
- Dr. Ming Zhao, Dr. Xinyi Li, Ai-Driven Optimization In Healthcare: Machine Learning Models For Predictive Diagnostics And Personalized Treatment Strategies , Journal of Medical and Biomedical Science: Vol. 10 No. 2 (2024)
- Dr. Soo-jin Kim, Agentic Digital Twins: Self-Evolving Models for Autonomous Systems , Journal of Medical and Biomedical Science: Vol. 11 No. 2 (2025)
- Prof. Minseok Choi, Dr. Hana Lee, Dr. Joonho Bae, The Dance of Life: Understanding the Interplay Between Genes, Environment, and Development , Journal of Medical and Biomedical Science: Vol. 10 No. 1 (2024)
- Dr. Jihoon Kim, Dr. Sunyoung Park, Bio-Cybersecurity in Professional Wearables: Designing Secure Medical IoT Infrastructure for Enterprise Health Monitoring , Journal of Medical and Biomedical Science: Vol. 11 No. 3 (2025)
You may also start an advanced similarity search for this article.