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TMT-HCC: A tool for text mining the biomedical literature for hepatocellular carcinoma (HCC) biomarkers identification |
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| Authors: | Rania A Abul Seoud Mai S Mabrouk |
| Affiliation: | 1. Faculty of Engineering, Department of Electrical Engineering, Communication and Electronics Section, El Fayoum University, Fayoum 63514, Egypt;2. Faculty of Engineering, Department of Biomedical Engineering, Misr University for Science and Technology (MUST University), Al Motamyez Distinct Al, Al Mehwar Road, 00202, Egypt |
| Abstract: | Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality worldwide. New insights into the pathogenesis of this lethal disease are urgently needed. Chromosomal copy number alterations (CNAs) can lead to activation of oncogenes and inactivation of tumor suppressors in human cancers. Thus, identification of cancer-specific CNAs will not only provide new insight into understanding the molecular basis of tumor genesis but also facilitate the identification of HCC biomarkers using CNA. |
| Keywords: | Text mining Hepatocellular carcinoma (HCC) Copy number variation Biomedical literature Biomarkers |
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