Indirect quantitative structure-retention relationship for steroid identification: A chemometric challenge at “Chimiométrie 2016”-Reference-Cited by-同舟云学术

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Indirect quantitative structure-retention relationship for steroid identification: A chemometric challenge at “Chimiométrie 2016”

Published:2017-01 Issue: Volume:160 Page:52-58
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Randazzo Giuseppe Marco,Vigneau Evelyne,Courcoux Philippe,Harrouet Corentin,Lijour Yves,Dardenne Pierre,Boccard Julien,Rudaz Serge

Funder

Swiss National Science Foundation

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference15 articles.

1. A NIR data set is the object of a chemometric contest at ‘Chimiométrie 2004’;Dardenne;Chem. Intel.- Lab Sys,2006

2. How to build a robust model against perturbation factors with only a few reference values: a chemometric challenge at ‘Chimiométrie 2007’;Fernández Pierna;Chem. Intel. Lab. Sys.,2011

3. Soil parameter quantification by NIRS as a Chemometric challenge at ‘Chimiométrie 2006’;Fernández Pierna;Chem. Intel. Lab. Sys.,2008

4. Trappist beer identification by vibrational spectroscopy: a chemometric challenge posed at the ‘Chimiométrie 2010’ congress;Fernández Pierna;Chem. Intel. Lab. Sys.,2012

5. A case study of extrapolation in NIR modelling – a chemometric challenge at ‘Chimiométrie 2009’;Fernández Pierna;Chem. Intel. Lab. Sys.,2011

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1. libscientific: A Powerful C Library for Multivariate Analysis;Journal of Open Source Software;2023-10-25

2. On the characterization of novel biologically active steroids: Selection of lipophilicity models of newly synthesized steroidal derivatives by classical and non-parametric ranking approaches;Computational Biology and Chemistry;2019-06

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