0531356 - ÚMG 2021 RIV GB eng J - Journal Article
Voršilák, Milan - Kolář, Michal - Čmelo, I. - Svozil, Daniel
SYBA: Bayesian estimation of synthetic accessibility of organic compounds.
Journal of Cheminformatics. Roč. 12, č. 1 (2020), č. článku 35. ISSN 1758-2946. E-ISSN 1758-2946
R&D Projects: GA MŠMT(CZ) EF16_019/0000785; GA MŠMT(CZ) LM2018130
Institutional support: RVO:68378050
Keywords : Synthetic accessibility * Bayesian analysis * Bernoulli naive Bayes
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 5.514, year: 2020
Method of publishing: Open access
https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00439-2
Permanent Link: http://hdl.handle.net/11104/0310029
Voršilák, Milan - Kolář, Michal - Čmelo, I. - Svozil, Daniel
SYBA: Bayesian estimation of synthetic accessibility of organic compounds.
Journal of Cheminformatics. Roč. 12, č. 1 (2020), č. článku 35. ISSN 1758-2946. E-ISSN 1758-2946
R&D Projects: GA MŠMT(CZ) EF16_019/0000785; GA MŠMT(CZ) LM2018130
Institutional support: RVO:68378050
Keywords : Synthetic accessibility * Bayesian analysis * Bernoulli naive Bayes
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 5.514, year: 2020
Method of publishing: Open access
https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00439-2
Permanent Link: http://hdl.handle.net/11104/0310029