1. The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives
   Chrysanthos D. Christou et al, 2022, MicroRNA CrossRef
2. Role of three-dimensional printing and artificial intelligence in the management of hepatocellular carcinoma: Challenges and opportunities
   Chrysanthos D Christou et al, 2022, World Journal of Gastrointestinal Oncology CrossRef
3. Development of diagnostic and prognostic molecular biomarkers in hepatocellular carcinoma using machine learning: A systematic review
   Amanpreet Brar et al, 2022, Liver Cancer International CrossRef
4. Risk Scores Based on Six Survival-Related RNAs in a Competing Endogenous Network Composed of Differentially Expressed RNAs Between Clear Cell Renal Cell Carcinoma Patients Carrying Wild-Type or Mutant Von Hippel–Lindau Serve Well to Predict Malignancy and Prognosis
   Rui Zhu et al, 2021, Frontiers in Oncology CrossRef
5. A Systematic Review on Biomarker Identification for Cancer Diagnosis and Prognosis in Multi-omics: From Computational Needs to Machine Learning and Deep Learning
   Arwinder Dhillon et al, 2023, Archives of Computational Methods in Engineering CrossRef
6. PD-L1 and Immune Infiltration of m6A RNA Methylation Regulators and Its miRNA Regulators in Hepatocellular Carcinoma
   Yingxue Lin et al, 2021, BioMed Research International CrossRef
7. miRNAs as Epigenetic Cancer Biomarker
   Afraa Mamoori, 2023, Current Cancer Biomarkers CrossRef