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Bioinformatics analysis to identify the key genes affecting the progression and prognosis of hepatocellular carcinoma.
- Published in:
- Bioscience Reports, 2019, v. 39, n. 2, p. 1, doi. 10.1042/BSR20181845
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- Article
Effects of different chemical groups on behaviors of bladder cancer cells.
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- Journal of Biomedical Materials Research, Part A, 2020, v. 108, n. 12, p. 2484, doi. 10.1002/jbm.a.36999
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- Article
AURKB as a Promising Prognostic Biomarker in Hepatocellular Carcinoma.
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- Evolutionary Bioinformatics, 2021, v. 17, p. 1, doi. 10.1177/11769343211057589
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- Article
High expression of FAM13A was associated with increasing the liver cirrhosis risk.
- Published in:
- Molecular Genetics & Genomic Medicine, 2019, v. 7, n. 3, p. N.PAG, doi. 10.1002/mgg3.543
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- Article
Finding key genes (UBE2T, KIF4A, CDCA3, and CDCA5) co-expressed in hepatitis, cirrhosis and hepatocellular carcinoma based on multiple bioinformatics techniques.
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- BMC Gastroenterology, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12876-024-03288-7
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- Article