Improving classification of correct and incorrect protein-protein docking models by augmenting the training set.
- DOI
- 10.1093/bioadv/vbad012
- Published
- 2023
- Container
- Bioinformatics advances
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1093/bioadv/vbad012,
title = {Improving classification of correct and incorrect protein-protein docking models by augmenting the training set.},
author = {Barradas-Bautista D and Almajed A and Oliva R and Kalnis P and Cavallo L},
year = {2023},
journal = {Bioinformatics advances},
doi = {10.1093/bioadv/vbad012},
url = {https://doi.org/10.1093/bioadv/vbad012}
}RIS
TY - JOUR TI - Improving classification of correct and incorrect protein-protein docking models by augmenting the training set. AU - Barradas-Bautista D AU - Almajed A AU - Oliva R AU - Kalnis P AU - Cavallo L PY - 2023 JO - Bioinformatics advances DO - 10.1093/bioadv/vbad012 UR - https://doi.org/10.1093/bioadv/vbad012 ER -
APA
D, B., A, A., R, O., P, K., & L, C. (2023). Improving classification of correct and incorrect protein-protein docking models by augmenting the training set.. Bioinformatics advances. https://doi.org/10.1093/bioadv/vbad012
Source records
- pubmed · retrieved 2026-09-24T21:21:43.592Z