A deep learning approach to predict blood-brain barrier permeability

Shrooq Alsenan, Isra Al-Turaiki, Alaaeldin Hafez

Open source

DOI: 10.7717/peerj-cs.515
Published: 2021-06-10
Container: PeerJ Computer Science
Publisher: PeerJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.515,
  title = {A deep learning approach to predict blood-brain barrier permeability},
  author = {Shrooq Alsenan and Isra Al-Turaiki and Alaaeldin Hafez},
  year = {2021},
  journal = {PeerJ Computer Science},
  doi = {10.7717/peerj-cs.515},
  url = {https://doi.org/10.7717/peerj-cs.515}
}

RIS

TY  - JOUR
TI  - A deep learning approach to predict blood-brain barrier permeability
AU  - Shrooq Alsenan
AU  - Isra Al-Turaiki
AU  - Alaaeldin Hafez
PY  - 2021
JO  - PeerJ Computer Science
DO  - 10.7717/peerj-cs.515
UR  - https://doi.org/10.7717/peerj-cs.515
ER  -

APA

Alsenan, S., Al-Turaiki, I., & Hafez, A. (2021). A deep learning approach to predict blood-brain barrier permeability. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.515

Source records

crossref · retrieved 2026-09-25T00:31:00.398Z