1. Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Pathways Associated With Clinical Outcome in Hepatocellular Carcinoma
   Yubin Li et al, 2020, Frontiers in Genetics CrossRef
2. 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
3. Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning
   Md. Al Mehedi Hasan et al, 2023, Scientific Reports CrossRef
4. Low expression of KIF20A suppresses cell proliferation, promotes chemosensitivity and is associated with better prognosis in HCC
   Chuanxing Wu et al, 2021, Aging CrossRef
5. Identification of hub genes and biological pathways in hepatocellular carcinoma by integrated bioinformatics analysis
   Qian Zhao et al, 2021, PeerJ CrossRef
6. Identification of metabolism-related key genes as potential biomarkers for pathogenesis of immune thrombocytopenia
   Xiangmei Xu et al, 2024, Scientific Reports CrossRef