Published on in Vol 5 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/56538, first published
.
Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation
Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation
Journals
- Dooley A, Bowden A, Whatling H, Watkins J, Greef B. Genomics in Cancer of Unknown Primary: Utility in Modern Clinical Practice. Clinical Oncology 2025;41:103793 View
- Lawarde A, Khatun M, Lingasamy P, Salumets A, Modhukur V. Tumor tissue-of-origin classification using miRNA-mRNA-lncRNA interaction networks and machine learning methods. Frontiers in Bioinformatics 2025;5 View
- Agustriawan D, Mulia A, Overbeek M, Kurniawan V, Syechlo J, Widjaja M, Ahmad M. Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach. JMIR Bioinformatics and Biotechnology 2025;6:e72423 View
- Hao Y, Huang H, Huang D, Ruan J, Liu X, Zhang J. OncoTrace‐TOO: Interpretable Machine Learning Framework for Cancer Tissue‐of‐Origin Identification Using Transcriptomic Signatures. Cancer Reports 2025;8(8) View