Proteochemometric modeling in a Bayesian framework
- DOI
- 10.1186/1758-2946-6-35
- Published
- 2014-06-28
- Container
- Journal of Cheminformatics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/1758-2946-6-35,
title = {Proteochemometric modeling in a Bayesian framework},
author = {Isidro Cortes-Ciriano and Gerard JP van Westen and Eelke Bart Lenselink and Daniel S Murrell and Andreas Bender and Thérèse Malliavin},
year = {2014},
journal = {Journal of Cheminformatics},
doi = {10.1186/1758-2946-6-35},
url = {https://doi.org/10.1186/1758-2946-6-35}
}RIS
TY - JOUR TI - Proteochemometric modeling in a Bayesian framework AU - Isidro Cortes-Ciriano AU - Gerard JP van Westen AU - Eelke Bart Lenselink AU - Daniel S Murrell AU - Andreas Bender AU - Thérèse Malliavin PY - 2014 JO - Journal of Cheminformatics DO - 10.1186/1758-2946-6-35 UR - https://doi.org/10.1186/1758-2946-6-35 ER -
APA
Cortes-Ciriano, I., Westen, G. J. V., Lenselink, E. B., Murrell, D. S., Bender, A., & Malliavin, T. (2014). Proteochemometric modeling in a Bayesian framework. Journal of Cheminformatics. https://doi.org/10.1186/1758-2946-6-35
Source records
- crossref · retrieved 2026-09-25T20:01:15.232Z