Sherif A El-Kafrawy, Mai M El-Daly, Leena H Bajrai, Thamir A Alandijany, Arwa A Faizo, Mohammad Mobashir, Sunbul S Ahmed, Sarfraz Ahmed, Shoaib Alam, Raja Jeet, Mohammad Amjad Kamal, Syed Tauqeer Anwer, Bushra Khan, Manal Tashkandi, Moshahid A Rizvi, Esam Ibraheem Azhar
Data integration with phenotypes such as gene expression, pathways or function, and protein-protein interactions data has proven to be a highly promising technique for improving human complex diseases, particularly cancer patient outcome prediction. Hepatocellular carcinoma is one of the most prevalent cancers, and the most common cause is chronic HBV and HCV infection, which is linked to the majority of cases, and HBV and HCV play a role in multistep carcinogenesis progression. We examined the list of known hepatocellular carcinoma biomarkers with the publicly available expression profile dataset of hepatocellular carcinoma infected with HCV from day 1 to day 10 in this study...
2022: Frontiers in Genetics