Least absolute shrinkage and selection operator and dimensionality reduction techniques in quantitative structure retention relationship modeling of retention in hydrophilic interaction liquid chromatography

Journal of Chromatography A ◽

10.1016/j.chroma.2015.05.025 ◽

2015 ◽

Vol 1403 ◽

pp. 54-62 ◽

Cited By ~ 20

Author(s):

Emilia Daghir-Wojtkowiak ◽

Paweł Wiczling ◽

Szymon Bocian ◽

Łukasz Kubik ◽

Piotr Kośliński ◽

...

Keyword(s):

Liquid Chromatography ◽

Dimensionality Reduction ◽

Hydrophilic Interaction Liquid Chromatography ◽

Quantitative Structure ◽

Hydrophilic Interaction ◽

Reduction Techniques ◽

Dimensionality Reduction Techniques ◽

Structure Retention ◽

Selection Operator ◽

Quantitative Structure Retention Relationship

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Method Optimisation in Hydrophilic-Interaction Liquid Chromatography by Design of Experiments Combined with Quantitative Structure–Retention Relationships*

Australian Journal of Chemistry ◽

10.1071/ch21102 ◽

2021 ◽

Author(s):

Maryam Taraji ◽

Paul R. Haddad

Keyword(s):

Liquid Chromatography ◽

Design Of Experiments ◽

Hydrophilic Interaction Liquid Chromatography ◽

Quantitative Structure ◽

Hydrophilic Interaction ◽

Structure Retention ◽

Quantitative Structure Retention Relationships

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Rapid Method Development in Hydrophilic Interaction Liquid Chromatography for Pharmaceutical Analysis Using a Combination of Quantitative Structure–Retention Relationships and Design of Experiments

Analytical Chemistry ◽

10.1021/acs.analchem.6b04282 ◽

2017 ◽

Vol 89 (3) ◽

pp. 1870-1878 ◽

Cited By ~ 25

Author(s):

Maryam Taraji ◽

Paul R. Haddad ◽

Ruth I. J. Amos ◽

Mohammad Talebi ◽

Roman Szucs ◽

...

Keyword(s):

Liquid Chromatography ◽

Design Of Experiments ◽

Rapid Method ◽

Pharmaceutical Analysis ◽

Method Development ◽

Hydrophilic Interaction Liquid Chromatography ◽

Quantitative Structure ◽

Hydrophilic Interaction ◽

Structure Retention ◽

Quantitative Structure Retention Relationships

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The Chemometric Study and Quantitative Structure Retention Relationship Modeling of Liquid Chromatography Separation of Ziprasidone Components

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/138620712803519699 ◽

2012 ◽

Vol 15 (9) ◽

pp. 730-744 ◽

Cited By ~ 5

Author(s):

Katarina Nikolic ◽

Marija Pavlovic ◽

Adam Smolinski ◽

Danica Agbaba

Keyword(s):

Liquid Chromatography ◽

Quantitative Structure ◽

Liquid Chromatography Separation ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Evaluating “Fast” Micellar Monolithic Liquid Chromatography for High-Throughput Quantitative Structure−Retention Relationship Screening

Analytical Chemistry ◽

10.1021/ac030339e ◽

2004 ◽

Vol 76 (7) ◽

pp. 1903-1908 ◽

Cited By ~ 14

Author(s):

Ann Detroyer ◽

Yvan Vander Heyden ◽

Katrien Reynaert ◽

Desire L. Massart

Keyword(s):

Liquid Chromatography ◽

High Throughput ◽

Quantitative Structure ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Quantitative structure-retention relationship for chromatographic behaviour of anthraquinone derivatives through considering organic modifier features in micellar liquid chromatography

Journal of Chromatography A ◽

10.1016/j.chroma.2019.03.063 ◽

2019 ◽

Vol 1599 ◽

pp. 46-54 ◽

Cited By ~ 8

Author(s):

Amir M. Ramezani ◽

Saeed Yousefinejad ◽

Azin Shahsavar ◽

Afshan Mohajeri ◽

Ghodratollah Absalan

Keyword(s):

Liquid Chromatography ◽

Micellar Liquid Chromatography ◽

Quantitative Structure ◽

Organic Modifier ◽

Chromatographic Behaviour ◽

Anthraquinone Derivatives ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Comparison of Weighting Schemes for Molecular Graph Descriptors: Application in Quantitative Structure−Retention Relationship Models for Alkylphenols in Gas−Liquid Chromatography

Journal of Chemical Information and Computer Sciences ◽

10.1021/ci990129w ◽

2000 ◽

Vol 40 (3) ◽

pp. 732-743 ◽

Cited By ~ 28

Author(s):

Ovidiu Ivanciuc ◽

Teodora Ivanciuc ◽

Daniel Cabrol-Bass ◽

Alexandru T. Balaban

Keyword(s):

Liquid Chromatography ◽

Molecular Graph ◽

Gas Liquid Chromatography ◽

Quantitative Structure ◽

Weighting Schemes ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Quantitative structure-retention relationship studies for taxanes including epimers and isomeric metabolites in ultra fast liquid chromatography

Journal of Chromatography A ◽

10.1016/j.chroma.2009.08.079 ◽

2009 ◽

Vol 1216 (42) ◽

pp. 7055-7062 ◽

Cited By ~ 10

Author(s):

Pei-Pei Dong ◽

Guang-Bo Ge ◽

Yan-Yan Zhang ◽

Chun-Zhi Ai ◽

Guo-Hui Li ◽

...

Keyword(s):

Liquid Chromatography ◽

Quantitative Structure ◽

Structure Retention ◽

Fast Liquid Chromatography ◽

Quantitative Structure Retention Relationship

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Quantitative Structure–Retention Relationship Modeling of Morphine and Its Derivatives on OV-1 Column in Gas–Liquid Chromatography Using Genetic Algorithm

Chromatographia ◽

10.1007/s10337-017-3273-7 ◽

2017 ◽

Vol 80 (4) ◽

pp. 629-636 ◽

Cited By ~ 1

Author(s):

Asrin Bahmani ◽

Saadi Saaidpour ◽

Amin Rostami

Keyword(s):

Genetic Algorithm ◽

Liquid Chromatography ◽

Gas Liquid Chromatography ◽

Quantitative Structure ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Quantitative structure –retention relationship modeling of selected antipsychotics and their impurities in green liquid chromatography using cyclodextrin mobile phases

Analytical and Bioanalytical Chemistry ◽

10.1007/s00216-018-0911-3 ◽

2018 ◽

Vol 410 (10) ◽

pp. 2533-2550 ◽

Cited By ~ 3

Author(s):

Nevena Maljurić ◽

Jelena Golubović ◽

Biljana Otašević ◽

Mira Zečević ◽

Ana Protić

Keyword(s):

Liquid Chromatography ◽

Quantitative Structure ◽

Mobile Phases ◽

Structure Retention ◽

Quantitative Structure Retention Relationship

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Artificial neural networks in liquid chromatography: efficient and improved quantitative structure–retention relationship models

Journal of Chromatography A ◽

10.1016/s0021-9673(00)00923-7 ◽

2000 ◽

Vol 904 (2) ◽

pp. 119-129 ◽

Cited By ~ 62

Author(s):

Yannis L Loukas

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Liquid Chromatography ◽

Quantitative Structure ◽

Structure Retention ◽

Artificial Neural ◽

Quantitative Structure Retention Relationship

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