0502391 - ÚMG 2019 RIV GB eng J - Journal Article
Sicho, M. - Voršilák, M. - Svozil, Daniel
Comment on ´The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability´.
Journal of Cheminformatics. Roč. 10, č. 1 (2018), č. článku 13. ISSN 1758-2946. E-ISSN 1758-2946
R&D Projects: GA MŠMT LM2015063
Institutional support: RVO:68378050
Keywords : virtual screening application * the power metric * model
OECD category: Biochemistry and molecular biology
Impact factor: 4.154, year: 2018
Permanent Link: http://hdl.handle.net/11104/0294333
Sicho, M. - Voršilák, M. - Svozil, Daniel
Comment on ´The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability´.
Journal of Cheminformatics. Roč. 10, č. 1 (2018), č. článku 13. ISSN 1758-2946. E-ISSN 1758-2946
R&D Projects: GA MŠMT LM2015063
Institutional support: RVO:68378050
Keywords : virtual screening application * the power metric * model
OECD category: Biochemistry and molecular biology
Impact factor: 4.154, year: 2018
Permanent Link: http://hdl.handle.net/11104/0294333