1. Role of microRNAs as Clinical Cancer Biomarkers for Ovarian Cancer: A Short Overview
   Cristina Elena Staicu et al, 2020, Cells CrossRef
2. Identification of Seven-Gene Hypoxia Signature for Predicting Overall Survival of Hepatocellular Carcinoma
   Yuping Bai et al, 2021, Frontiers in Genetics CrossRef
3. Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology
   S. Sujamol et al, 2021, Applied Artificial Intelligence CrossRef
4. Circulating Exosomal miRNAs as Biomarkers in Epithelial Ovarian Cancer
   Meng-Shin Shiao et al, 2021, Biomedicines CrossRef
5. Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients
   Yu Zhang et al, 2020, BioMed Research International CrossRef
6. 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
7. Discovering Common miRNA Signatures Underlying Female-Specific Cancers via a Machine Learning Approach Driven by the Cancer Hallmark ERBB
   Katia Pane et al, 2022, Biomedicines CrossRef
8. 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
9. The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives
   Chrysanthos D. Christou et al, 2022, MicroRNA CrossRef