Interpretable Perturbator for Variable Selection in near-Infrared Spectral Analysis-Reference-Cited by-同舟云学术

Interpretable Perturbator for Variable Selection in near-Infrared Spectral Analysis

Published:2023-10-06 Issue: Volume: Page:
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Duan Chaoshu¹²^ORCID,Liu Xuyang¹²^ORCID,Cai Wensheng¹²^ORCID,Shao Xueguang¹²^ORCID

Affiliation:

1. Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, College of Chemistry, Nankai University, Tianjin 300071, P. R. China

2. Haihe Laboratory of Sustainable Chemical Transformations, Tianjin 300192, P. R. China

Funder

National Natural Science Foundation of China

Haihe Laboratory of Sustainable Chemical Transformations

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01290

Reference48 articles.

1. Near infrared spectroscopy: A mature analytical technique with new perspectives – A review

2. Discrimination of Substandard and Falsified Formulations from Genuine Pharmaceuticals Using NIR Spectra and Machine Learning

3. Near infrared spectroscopy combined with least squares support vector machines and fuzzy rule-building expert system applied to diagnosis of endometrial carcinoma

4. Model-population analysis and its applications in chemical and biological modeling

5. Recent advances of chemometric calibration methods in modern spectroscopy: Algorithms, strategy, and related issues

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