Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.

Zhao Y, Liu X, Xie P, Guan J, Zhao Z, Wang J, Lee TY, Chiang YC, Wei L, Liu X, Yao L

Open source

DOI
10.1186/s13321-026-01183-9
Published
2026 Mar 28
Container
Journal of cheminformatics
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s13321-026-01183-9,
  title = {Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.},
  author = {Zhao Y and Liu X and Xie P and Guan J and Zhao Z and Wang J and Lee TY and Chiang YC and Wei L and Liu X and Yao L},
  year = {2026},
  journal = {Journal of cheminformatics},
  doi = {10.1186/s13321-026-01183-9},
  url = {https://doi.org/10.1186/s13321-026-01183-9}
}

RIS

TY  - JOUR
TI  - Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.
AU  - Zhao Y
AU  - Liu X
AU  - Xie P
AU  - Guan J
AU  - Zhao Z
AU  - Wang J
AU  - Lee TY
AU  - Chiang YC
AU  - Wei L
AU  - Liu X
AU  - Yao L
PY  - 2026
JO  - Journal of cheminformatics
DO  - 10.1186/s13321-026-01183-9
UR  - https://doi.org/10.1186/s13321-026-01183-9
ER  - 

APA

Y, Z., X, L., P, X., J, G., Z, Z., J, W., TY, L., YC, C., L, W., X, L., & L, Y. (2026). Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.. Journal of cheminformatics. https://doi.org/10.1186/s13321-026-01183-9

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