1. Analysis of the Expression of Cell Division Cycle-Associated Genes and Its Prognostic Significance in Human Lung Carcinoma: A Review of the Literature Databases
   Chongxiang Chen et al, 2020, BioMed Research International CrossRef
2. Graph Theoretic and Pearson Correlation-Based Discovery of Network Biomarkers for Cancer
   Raihanul Bari Tanvir et al, 2019, Data CrossRef
3. Gene Expression and Metadata Based Identification of Key Genes for Hepatocellular Carcinoma Using Machine Learning and Statistical Models
   Md. Al Mehedi Hasan et al, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics CrossRef
4. Integrative Analysis of Metallothioneins Identifies MT1H as Candidate Prognostic Biomarker in Hepatocellular Carcinoma
   Feng Zhang et al, 2021, Frontiers in Molecular Biosciences CrossRef
5. High Expression of SLC41A3 Correlates with Poor Prognosis in Hepatocellular Carcinoma
   Qian Li et al, 2021, OncoTargets and Therapy CrossRef
6. Deep View of HCC Gene Expression Signatures and Their Comparison with Other Cancers
   Yuquan Qian et al, 2022, Cancers CrossRef