A deep learning model and machine learning methods for the classification of potential coronavirus treatments on a single human cell.

Khalifa NEM, Taha MHN, Manogaran G, Loey M

DOI: 10.1007/s11051-020-05041-z
Published: 2020
Container: Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s11051-020-05041-z,
  title = {A deep learning model and machine learning methods for the classification of potential coronavirus treatments on a single human cell.},
  author = {Khalifa NEM and Taha MHN and Manogaran G and Loey M},
  year = {2020},
  journal = {Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology},
  doi = {10.1007/s11051-020-05041-z},
  url = {https://doi.org/10.1007/s11051-020-05041-z}
}

RIS

TY  - JOUR
TI  - A deep learning model and machine learning methods for the classification of potential coronavirus treatments on a single human cell.
AU  - Khalifa NEM
AU  - Taha MHN
AU  - Manogaran G
AU  - Loey M
PY  - 2020
JO  - Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology
DO  - 10.1007/s11051-020-05041-z
UR  - https://doi.org/10.1007/s11051-020-05041-z
ER  -

APA

NEM, K., MHN, T., G, M., & M, L. (2020). A deep learning model and machine learning methods for the classification of potential coronavirus treatments on a single human cell.. Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology. https://doi.org/10.1007/s11051-020-05041-z

Source records

pubmed · retrieved 2026-09-26T04:44:03.696Z