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Identifying critical states of hepatocellular carcinoma based on landscape dynamic network biomarkers

  • Published:2020-04 Issue: Volume:85 Page:107202
  • ISSN:1476-9271
  • Container-title:Computational Biology and Chemistry
  • language:en
  • Short-container-title:Computational Biology and Chemistry

Author:

Sun Yichen,Zhao Hongqian,Wu Min,Xu Junhua,Zhu Shanshan,Gao Jie

Funder

Key Project of National Natural Science Foundation of China

Major Research Plan of National Natural Science Foundation of China

Postgraduate Research & Practice Innovation Program of Jiangnan University

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference24 articles.

1. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis;El-Serag;Gastroenterology,2007

2. Recent advances in hepatocellular carcinoma therapy;Dutta;Pharmacol. Ther.,2017

3. Network biomarkers reveal dysfunctional gene regulations during disease progression;Zeng;FBES Journal,2013

4. Detecting early‐warning signals of influenza outbreak based on dynamic network marker;Chen;Journal of Cellular and Molecular Medicine banner,2019

5. Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing;Lu;J. Mol. Cell Biol.,2019

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