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Combined Naïve Bayesian, Chemical Fingerprints and Molecula..:
García-Sosa, Alfonso T.
;
Maran, Uko
International Journal of Molecular Sciences. 22 (2021) 13 - p. 6695 , 2021
Link:
https://doi.org/10.3390/ijms22136695
RT Journal T1 <Title>Combined Naïve Bayesian, Chemical Fingerprints and Molecular Docking Classifiers to Model and Predict Androgen Receptor Binding Data for Environmentally- and Health-Sensitive Substances</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_ijms22136695&Exemplar=1&LAN=DE A1 García-Sosa, Alfonso T. A1 Maran, Uko PB MDPI AG YR 2021 SN 1422-0067 JF International Journal of Molecular Sciences VO 22 IS 13 SP 6695 LK http://dx.doi.org/https://doi.org/10.3390/ijms22136695 DO https://doi.org/10.3390/ijms22136695 SF ELIB - SuUB Bremen
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