Two-step multivariate adaptive regression splines for modeling a quantitative relationship between gas chromatography retention indices and molecular descriptors-Reference-Cited by-同舟云学术

Two-step multivariate adaptive regression splines for modeling a quantitative relationship between gas chromatography retention indices and molecular descriptors

Published:2003-05 Issue:1-2 Volume:998 Page:155-167
ISSN:0021-9673
Container-title:Journal of Chromatography A
language:en
Short-container-title:Journal of Chromatography A

Author:

Xu Qing-Song,Massart D.L.,Liang Yi-Zeng,Fang Kai-Tai

Publisher

Elsevier BV

Subject

Organic Chemistry,General Medicine,Biochemistry,Analytical Chemistry

Reference23 articles.

1. Quantitative Structure–Chromatographic Retention Relationships;Kaliszan,1987

2. Calculation of Retention Times of Anthocyanins with Orthogonalized Topological Indices

3. Quantitative structure–property relationship study of chromatographic retention indices and normal boiling points for oxo compounds using the semi-empirical topological method

4. Linear and non-linear modeling for the investigation of gas chromatography retention indices of alkylbenzenes on Cit.A-4, SE-30 and Carbowax 20M

5. Applied Regression Analysis;Draper,1981

Cited by 46 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. Prediction of Inhibition Activity of Dihydrofolate Reductase Inhibitors With Multivariate Adaptive Regression Splines;IEEE Access;2023

2. Sparse regression modeling for short- and long‐term natural gas demand prediction;Annals of Operations Research;2021-06-10

3. An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-01-01

4. From “Clothing Standard” to “Chemometrics”;Contemporary Experimental Design, Multivariate Analysis and Data Mining;2020

5. Application of Multivariate Adaptive Regression Splines (MARSplines) Methodology for Screening of Dicarboxylic Acid Cocrystal Using 1D and 2D Molecular Descriptors;Crystal Growth & Design;2019-05-29