| Naziv: | Charged aerosol detector response modeling for fatty acids based on experimental settings and molecular features: a machine learning approach |
Autori: | Pawellek, Ruben; Krmar, Jovana   ; Leistner, Adrian; Đajić, Nevena ; Otašević, Biljana ; Protić, Ana ; Holzgrabe, Ulrike |
Godina: | 2021 |
Publikacija: | Journal of Cheminformatics |
ISSN: | 1758-2946 Journal of Cheminformatics Pretraži identifikator |
Izdavač: | BioMed Central Ltd |
Tip rezultata: | Naučni članak |
Kolacija: | vol. 13 br. 1 |
DOI: | 10.1186/s13321-021-00532-0 |
WoS-ID: | 000673977300001 |
Scopus-ID: | 2-s2.0-85110487489 |
PMID: | 34266497 |
PMCID: | PMC8281619 |
URI: | https://farfar.pharmacy.bg.ac.rs/handle/123456789/3926
https://enauka.gov.rs/handle/123456789/129304 |
Projekat: | DAAD PPP Program for Project-Related Personal Exchange with Serbia
Fund of the University of Wuerzburg
Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200161 (Univerzitet u Beogradu, Farmaceutski fakultet) (RS-200161) |
M-kategorija: | 21aM21a - Rad u međ. časopisu izuzetnih vrednosti |
