has been cited by the following article(s):
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[1]
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Identification and therapeutic investigation of biomarker genes underpinning hepatocellular carcinoma: an in silico study utilising molecular docking and dynamics simulation
Frontiers in Bioinformatics,
2025
DOI:10.3389/fbinf.2025.1567748
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[2]
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Transcription-associated cyclin-dependent kinase 12 (CDK12) as a potential target for cancer therapy
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer,
2023
DOI:10.1016/j.bbcan.2022.188842
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[3]
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Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning
Scientific Reports,
2023
DOI:10.1038/s41598-023-30851-1
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[4]
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Gene Expression and Metadata Based Identification of Key Genes for Hepatocellular Carcinoma Using Machine Learning and Statistical Models
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
2023
DOI:10.1109/TCBB.2023.3322753
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[5]
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Genome-scan meta-analysis identifies potential biomarkers for hepatitis B and hepatitis C virus-associated hepatocellular carcinomas
Human Gene,
2023
DOI:10.1016/j.humgen.2023.201187
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[6]
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RNA Therapeutic Options to Manage Aberrant Signaling Pathways in Hepatocellular Carcinoma: Dream or Reality?
Frontiers in Oncology,
2022
DOI:10.3389/fonc.2022.891812
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[7]
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Targeting CDK12 for Cancer Therapy: Function, Mechanism, and Drug Discovery
Cancer Research,
2021
DOI:10.1158/0008-5472.CAN-20-2245
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