Supervised chemical graph mining improves drug-induced liver injury prediction.

Lim S, Kim Y, Gu J, Lee S, Shin W, Kim S

DOI: 10.1016/j.isci.2022.105677
Published: 2023 Jan 20
Container: iScience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.isci.2022.105677,
  title = {Supervised chemical graph mining improves drug-induced liver injury prediction.},
  author = {Lim S and Kim Y and Gu J and Lee S and Shin W and Kim S},
  year = {2023},
  journal = {iScience},
  doi = {10.1016/j.isci.2022.105677},
  url = {https://doi.org/10.1016/j.isci.2022.105677}
}

RIS

TY  - JOUR
TI  - Supervised chemical graph mining improves drug-induced liver injury prediction.
AU  - Lim S
AU  - Kim Y
AU  - Gu J
AU  - Lee S
AU  - Shin W
AU  - Kim S
PY  - 2023
JO  - iScience
DO  - 10.1016/j.isci.2022.105677
UR  - https://doi.org/10.1016/j.isci.2022.105677
ER  -

APA

S, L., Y, K., J, G., S, L., W, S., & S, K. (2023). Supervised chemical graph mining improves drug-induced liver injury prediction.. iScience. https://doi.org/10.1016/j.isci.2022.105677

Source records

pubmed · retrieved 2026-09-27T10:06:02.695Z