Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES String by Maciej Przybyłek, Tomasz Jeliński, Piotr Cysewski

“…In order to adopt the MARSplines approach to QSPR/QSAR problems, several optimization procedures were proposed and tested. …”
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Modelling inventory management: Separate issues for construction and application by Mykhailo Luchko, Iryna Lukanovska, Vadym Ratynsky

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Log BB Prediction Models Using TLC and HPLC Retention Values as Protein Affinity Data by Karolina Wanat, Klaudia Michalak, Elżbieta Brzezińska

“…Methods: Predictive models were created using the physicochemical properties of drugs, and multiple linear regression and a data mining method, i.e., MARSplines, were used to build them. Retention values from protein-affinity chromatography (TLC and HPLC) were introduced into the analyses. …”
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