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Gradient Boosted Tree model: A fast track tool for predicting the Atmospheric Pressure Chemical Ionization-Mass Spectrometry signal of antipsychotics based on molecular features and experimental settings
| Title: | Gradient Boosted Tree model: A fast track tool for predicting the Atmospheric Pressure Chemical Ionization-Mass Spectrometry signal of antipsychotics based on molecular features and experimental settings | Authors: | Krmar, Jovana   ; Džigal, Merima; Stojković, Jovana; Protić, Ana ; Otašević, Biljana |
Issue Date: | 2022 | Publication: | Chemometrics and Intelligent Laboratory Systems | ISSN: | 0169-7439 Chemometrics and Intelligent Laboratory Systems Search Idenfier |
Publisher: | Elsevier B.V. | Type: | Article | Collation: | vol. 224 str. 104554-104554 | DOI: | 10.1016/j.chemolab.2022.104554 | WoS-ID: | 000796063800001 | Scopus-ID: | 2-s2.0-85127478985 | URI: | https://enauka.gov.rs/handle/123456789/465299 https://farfar.pharmacy.bg.ac.rs/handle/123456789/4081 |
Project: | Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200161 (Univerzitet u Beogradu, Farmaceutski fakultet) (RS-200161) | M-category: | 21aM21a |
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