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   Yuping Bai et al, 2021, Frontiers in Genetics CrossRef
2. Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology
   S. Sujamol et al, 2021, Applied Artificial Intelligence CrossRef
3. Identification and validation of a prognostic model based on immune-related genes in ovarian carcinoma
   Min Yu et al, 2024, PeerJ CrossRef
4. Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients
   Yu Zhang et al, 2020, BioMed Research International CrossRef
5. A Support Vector Machine Model Predicting the Risk of Duodenal Cancer in Patients with Familial Adenomatous Polyposis at the Transcript Levels
   Weiqing Liu et al, 2020, BioMed Research International CrossRef
6. A novel cross-species differential tumor classification method based on exosome-derived microRNA biomarkers established by human-dog lymphoid and mammary tumor cell lines' transcription profiles
   Kaj Chokeshaiusaha et al, 2022, Veterinary World CrossRef
7. The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives
   Chrysanthos D. Christou et al, 2022, MicroRNA CrossRef