Network‐based computational approach to identify genetic links between cardiomyopathy and its risk factors-Reference-Cited by-同舟云学术

Network‐based computational approach to identify genetic links between cardiomyopathy and its risk factors

Published:2020-04 Issue:2 Volume:14 Page:75-84
ISSN:1751-8849
Container-title:IET Systems Biology
language:en
Short-container-title:IET syst. biol.

Author:

Haidar Md. Nasim¹,Islam M. Babul¹,Chowdhury Utpala Nanda²,Rahman Md. Rezanur³,Huq Fazlul⁴,Quinn Julian M.W.⁵,Moni Mohammad Ali⁴⁵

Affiliation:

1. Department of Electrical and Electronic EngineeringUniversity of RajshahiRajshahi6205Bangladesh

2. Department of Computer Science and EngineeringUniversity of RajshahiRajshahi6205Bangladesh

3. Department of Biochemistry and BiotechnologySchool of Biomedical Science, Khwaja Yunus Ali UniversitySirajgonj6751Bangladesh

4. School of Medical SciencesFaculty of Medicine and HealthThe University of SydneySydneyNSW2006Australia

5. Bone Biology DivisionGarvan Institute of Medical ResearchDarlinghurstNSW2010Australia

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modelling and Simulation,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-syb.2019.0074

Reference75 articles.

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3. Incidence, causes, and outcomes of dilated cardiomyopathy in children;Towbin J.A.;J. Am. Med. Assoc.,2006

4. ChowdhuryU.N. AhmadS. andIslamM.B.et al.: ‘Network‐based identification of genetic factors in ageing lifestyle and type 2 diabetes that influence in the progression of alzheimer's disease’ 2018

5. A system biology approach to identify the genetic markers to the progression of Parkinson's disease for aging, lifestyle and type 2 diabetes;Sakib N.;bioRxiv,2018

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