Comparison of prohormone processing prediction using different artificial intelligence algorithms

Bruce R. Southey, Jonathan V. Sweedler, Sandra L. Rodriguez-Zas

Open source

DOI
10.1016/j.insi.2026.100429
Published
2026
Container
In Silico Research in Biomedicine
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.insi.2026.100429,
  title = {Comparison of prohormone processing prediction using different artificial intelligence algorithms},
  author = {Bruce R. Southey and Jonathan V. Sweedler and Sandra L. Rodriguez-Zas},
  year = {2026},
  journal = {In Silico Research in Biomedicine},
  doi = {10.1016/j.insi.2026.100429},
  url = {https://doi.org/10.1016/j.insi.2026.100429}
}

RIS

TY  - JOUR
TI  - Comparison of prohormone processing prediction using different artificial intelligence algorithms
AU  - Bruce R. Southey
AU  - Jonathan V. Sweedler
AU  - Sandra L. Rodriguez-Zas
PY  - 2026
JO  - In Silico Research in Biomedicine
DO  - 10.1016/j.insi.2026.100429
UR  - https://doi.org/10.1016/j.insi.2026.100429
ER  - 

APA

Southey, B. R., Sweedler, J. V., & Rodriguez-Zas, S. L. (2026). Comparison of prohormone processing prediction using different artificial intelligence algorithms. In Silico Research in Biomedicine. https://doi.org/10.1016/j.insi.2026.100429

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