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IET Systems Biology

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JOURNAL INFORMATION
Publisher John Wiley & Sons Inc.
Open Access NO
Quartile Q3
Citation Count 188
P-ISSN 1751-8857
E-ISSN 1751-8849
Categories Biotechnology, Modeling and Simulation, Cell Biology, Genetics, Molecular Biology
Area Biochemistry, Genetics and Molecular Biology, Mathematics
Region Western Europe
Country United Kingdom
Summary

  1. IET Systems Biology is published by John Wiley & Sons Inc.
  2. It is not an oppen access journal
  3. The Subject Area : Biochemistry, Genetics and Molecular Biology; Mathematics

Latest Articles published

Last updated: 21/08/2024

Identification and analysis of epithelial‐mesenchymal transition‐related key long non‐coding RNAs in hypospadias


Last updated: 21/08/2024

Revealing the potential role of hub metabolism‐related genes and their correlation with immune cells in acute ischemic stroke


Last updated: 21/08/2024

Adjusting laser power to control the heat generated by nanoparticles at the site of a patient's cells


Last updated: 15/06/2024

Gene signatures of endoplasmic reticulum stress and mitophagy for prognostic risk prediction in lung adenocarcinoma


Last updated: 15/06/2024

DNA methylation plays important roles in lifestyle transition of Arthrobotrys oligospora


Last updated: 15/06/2024

Integrated bioinformatics analysis identified leucine rich repeat containing 15 and secreted phosphoprotein 1 as hub genes for calcific aortic valve disease and osteoarthritis


Last updated: 05/04/2024

Analysis of disulfidptosis‐ and cuproptosis‐related LncRNAs in modulating the immune microenvironment and chemosensitivity in colon adenocarcinoma


Last updated: 05/04/2024

Anoikis‐related genes as potential prognostic biomarkers in gastric cancer: A multilevel integrative analysis and predictive therapeutic value


Last updated: 12/02/2024

The ‘Other’ subfamily of HECT E3 ubiquitin ligases evaluate the tumour immune microenvironment and prognosis in patients with hepatocellular carcinoma


Last updated: 12/02/2024

Research on symptoms composition, time series evolution, and network visualisation of interstitial cystitis based on complex network community discovery algorithm