Data-Driven Version of Multiway Soft Independent Modeling of Class Analogy (N-Way DD-SIMCA): Theory and Application-Reference-Cited by-同舟云学术

Data-Driven Version of Multiway Soft Independent Modeling of Class Analogy (N-Way DD-SIMCA): Theory and Application

Published:2024-03-12 Issue:12 Volume:96 Page:4845-4853
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Pagani Ariana P.¹²,Camargo Gonzalo¹²,Ibañez Gabriela A.¹²,Olivieri Alejandro C.¹²^ORCID,Pomerantsev Alexey L.³^ORCID,Rodionova Oxana Ye.³

Affiliation:

1. Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina

2. Instituto de Química Rosario (CONICET-UNR), 27 de Febrero 210 Bis, 2000 Rosario, Argentina

3. Federal Research Center for Chemical Physics RAS, Kosygin St. 4, 119991 Moscow, Russia

Funder

Consejo Nacional de Investigaciones Cient??ficas y T??cnicas

Ministerio de Ciencia, Tecnolog??a e Innovaci??n Productiva

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.3c05096

Reference41 articles.

1. Qualitative pattern recognition in chemistry: Theoretical background and practical guidelines

2. Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues – A tutorial

3. Data-Driven Soft Independent Modeling of Class Analogy in Paper Spray Ionization Mass Spectrometry-Based Metabolomics for Rapid Detection of Prostate Cancer

4. Intrinsic SERS Fingerprints of Aptamer-Peptide Conjugates for Direct High-Specific Profiling Abnormal Protein Levels in Cancer Patients

5. Interpretable One-Class Classification of Raman Spectra Using Prediction Bands Estimated by Wavelet Regression

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