Analysis and identification of beta-turn types using multinomial logistic regression and artificial neural network.

Asgary MP, Jahandideh S, Abdolmaleki P, Kazemnejad A

DOI: 10.1093/bioinformatics/btm324
Published: 2007 Dec 1
Container: Bioinformatics (Oxford, England)
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btm324,
  title = {Analysis and identification of beta-turn types using multinomial logistic regression and artificial neural network.},
  author = {Asgary MP and Jahandideh S and Abdolmaleki P and Kazemnejad A},
  year = {2007},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btm324},
  url = {https://doi.org/10.1093/bioinformatics/btm324}
}

RIS

TY  - JOUR
TI  - Analysis and identification of beta-turn types using multinomial logistic regression and artificial neural network.
AU  - Asgary MP
AU  - Jahandideh S
AU  - Abdolmaleki P
AU  - Kazemnejad A
PY  - 2007
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btm324
UR  - https://doi.org/10.1093/bioinformatics/btm324
ER  -

APA

MP, A., S, J., P, A., & A, K. (2007). Analysis and identification of beta-turn types using multinomial logistic regression and artificial neural network.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btm324

Source records

pubmed · retrieved 2026-09-24T19:47:22.233Z
europe-pmc · retrieved 2026-09-24T19:47:22.244Z