HCNS:A deep learning model for identifying essential proteins based on hypergraph convolution and sequence features

Jialong Tian, Pengli Lu, Huining Sha

Open source

DOI: 10.1016/j.ab.2025.115949
Published: 2025-12
Container: Analytical Biochemistry
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.ab.2025.115949,
  title = {HCNS:A deep learning model for identifying essential proteins based on hypergraph convolution and sequence features},
  author = {Jialong Tian and Pengli Lu and Huining Sha},
  year = {2025},
  journal = {Analytical Biochemistry},
  doi = {10.1016/j.ab.2025.115949},
  url = {https://doi.org/10.1016/j.ab.2025.115949}
}

RIS

TY  - JOUR
TI  - HCNS:A deep learning model for identifying essential proteins based on hypergraph convolution and sequence features
AU  - Jialong Tian
AU  - Pengli Lu
AU  - Huining Sha
PY  - 2025
JO  - Analytical Biochemistry
DO  - 10.1016/j.ab.2025.115949
UR  - https://doi.org/10.1016/j.ab.2025.115949
ER  -

APA

Tian, J., Lu, P., & Sha, H. (2025). HCNS:A deep learning model for identifying essential proteins based on hypergraph convolution and sequence features. Analytical Biochemistry. https://doi.org/10.1016/j.ab.2025.115949

Source records

crossref · retrieved 2026-09-25T19:56:08.580Z