Machine learning as a modeling approach for the account of nonlinear information in MIA-QSAR applications: A case study with SVM applied to antimalarial (aza)aurones-Reference-Cited by-同舟云学术

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Machine learning as a modeling approach for the account of nonlinear information in MIA-QSAR applications: A case study with SVM applied to antimalarial (aza)aurones

Published:2023 Issue: Volume: Page:457-471
ISSN:
Container-title:Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development
language:
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Author:

Daré Joyce K.,de Faria Adriana C.,Pereira Ingrid V.,Freitas Matheus P.

Publisher

Elsevier

Reference31 articles.

1. MIA-QSAR: a simple 2D image-based approach for quantitative structure-activity relationship analysis;Freitas;J. Mol. Struct.,2005

2. Colored chemical image-based models for the prediction of soil sorption of herbicides;Freitas;RSC Adv.,2015

3. Partial least squares regression: a tutorial;Geladi;Anal. Chim. Acta,1986

4. Practical Guide to Chemometrics;Gemperline,2006

5. Support vector machines in chemometrics;Demiriz;Comput. Sci. Stat.,2001

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