A review of computational approaches for analysis of hepatitis C virus-mediated liver diseases-Reference-Cited by-同舟云学术

A review of computational approaches for analysis of hepatitis C virus-mediated liver diseases

Published:2017-11-29 Issue:6 Volume:17 Page:428-440
ISSN:2041-2649
Container-title:Briefings in Functional Genomics
language:en
Short-container-title:

Author:

Ray Sumanta¹,Maulik Ujjwal²,Mukhopadhyay Anirban³

Affiliation:

1. Department of Computer Science and Engineering, Aliah University, Kolkata, India

2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

3. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Biochemistry,General Medicine

Link

http://academic.oup.com/bfg/article-pdf/17/6/428/26706477/elx040.pdf

Reference72 articles.

1. Insulin resistance and hcv: will new knowledge modify clinical management;Negro;J Hepatol,2006

2. Replication of hepatitis C virus;Moradpour;Nat Rev Microbiol,2007

3. Comparison of gene expression profiles between hepatitis b virus- and hepatitis c virus-infected hepatocellular carcinoma by oligonucleotide microarray data on the basis of a supervised learning method;Iizuka;Cancer Res,2002

4. Different signaling pathways in the livers of patients with chronic hepatitis B or chronic hepatitis C;Honda;Hepatology,2006

5. Genes involved in viral carcinogenesis and tumor initiation in hepatitis C virus-induced hepatocellular carcinoma;Mas;Mol Med,2009

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. miR-155 regulates pro- and anti-inflammatory cytokine expression in human monocytes during chronic hepatitis C virus infection;Annals of Translational Medicine;2021-11

2. Emerging and threatening infectious diseases;Briefings in Functional Genomics;2018-11

3. Computational Prediction of HCV-Human Protein-Protein Interaction via Topological Analysis of HCV Infected PPI Modules;IEEE Transactions on NanoBioscience;2018-01