Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods

Abdalrahman Mohammed‬, Abbas Al-Janabi

Open source

DOI: 10.53293/jasn.2021.3878.1052
Published: 6
Container: Journal of Applied Sciences and Nanotechnology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.53293/jasn.2021.3878.1052,
  title = {Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods},
  author = {Abdalrahman Mohammed‬ and Abbas Al-Janabi},
  year = {2022},
  journal = {Journal of Applied Sciences and Nanotechnology},
  doi = {10.53293/jasn.2021.3878.1052},
  url = {https://doi.org/10.53293/jasn.2021.3878.1052}
}

RIS

TY  - JOUR
TI  - Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods
AU  - Abdalrahman Mohammed‬
AU  - Abbas Al-Janabi
PY  - 2022
JO  - Journal of Applied Sciences and Nanotechnology
DO  - 10.53293/jasn.2021.3878.1052
UR  - https://doi.org/10.53293/jasn.2021.3878.1052
ER  -

APA

Mohammed‬, A., & Al-Janabi, A. (2022). Computational Analysis of Interleukin 17A Activity in Breast Cancer Patients Using Bioinformatics Methods. Journal of Applied Sciences and Nanotechnology. https://doi.org/10.53293/jasn.2021.3878.1052

Source records

doaj · retrieved 2026-09-27T02:04:52.661Z