Kernel-Based, Partial Least Squares Quantitative Structure-Retention Relationship Model for UPLC Retention Time Prediction: A Useful Tool for Metabolite Identification

标题
Kernel-Based, Partial Least Squares Quantitative Structure-Retention Relationship Model for UPLC Retention Time Prediction: A Useful Tool for Metabolite Identification
作者
关键词
-
出版物
ANALYTICAL CHEMISTRY
Volume 88, Issue 19, Pages 9510-9517
出版商
American Chemical Society (ACS)
发表日期
2016-09-02
DOI
10.1021/acs.analchem.6b02075

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