Machine learning models and performance dependency on 2D chemical descriptor space for retention time prediction of pharmaceuticals-Reference-Cited by-同舟云学术

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Machine learning models and performance dependency on 2D chemical descriptor space for retention time prediction of pharmaceuticals

Published:2024-08 Issue: Volume:1730 Page:465109
ISSN:0021-9673
Container-title:Journal of Chromatography A
language:en
Short-container-title:Journal of Chromatography A

Author:

Beck Armen G.^ORCID,Fine Jonathan^ORCID,Aggarwal Pankaj^ORCID,Regalado Erik L.^ORCID,Levorse Dorothy,De Jesus Silva Jordan^ORCID,Sherer Edward C.^ORCID

Publisher

Elsevier BV

Reference68 articles.

1. Tswett and the discovery of chromatography I: early work (1899–1903);Ettre;Chromatographia,1993

2. Anwendung auf die Chemie des Chlorophylls;Tswett;Ber. Dtsch. Bot. Ges.,1906

3. Current and future trends in UHPLC;Fekete;TrAC Trend. Analy. Chem.,2014

4. Recent trends in two-dimensional liquid chromatography;van den Hurk;TrAC Trend. Analy. Chem.,2023

5. Current challenges and future prospects in chromatographic method development for pharmaceutical research;Mattrey;TrAC Trend. Analy. Chem.,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning models and performance dependency on 2D chemical descriptor space for retention time prediction of pharmaceuticals;Journal of Chromatography A;2024-08

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