Novel QSRR and deep learning approaches for retention time modeling in RP and HILIC conditions

Obradovic, Darija; Andrey Stavrianidi; Elisabeta Fedorova; Oleg Shpigun; Lazović, Saša; Aleksey Buryak

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eNauka > Results > Novel QSRR and deep learning approaches for retention time modeling in RP and HILIC conditions

Title:	Novel QSRR and deep learning approaches for retention time modeling in RP and HILIC conditions
Authors:	Obradovic, Darija ; Andrey Stavrianidi; Elisabeta Fedorova; Oleg Shpigun; Lazović, Saša ; Aleksey Buryak
Issue Date:	2024
Publication:	Fourteenth Winter Symposium on Chemometrics Modern Methods of Data Analysis, Armenia, Tsaghkadzor, February 26–March 1, 2024
Type:	Conference Paper
URI:	https://enauka.gov.rs/handle/123456789/901341
Metadata source:	(Preuzeto iz ORCID-a) Obradović Jovčić, Darija
M-category:	Mp. category will be shown later

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