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Journal of Chemical Information and Modeling
|
October 14, 2017
Benchmarking of Computational Methods for Creation of Retention Models in Quantitative Structure-Retention Relationships Studies
Ruth I J Amos, Eva Tyteca, Mohammad Talebi, et al.
Journal of Chromatography. A
|
October 18, 2017
Error measures in quantitative structure-retention relationships studies
Maryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Electrophoresis
|
April 7, 2019
Retention prediction using quantitative structure-retention relationships combined with the hydrophobic subtraction model in reversed-phase liquid chromatography
Yabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
Analytical Chemistry
|
February 18, 2017
Rapid Method Development in Hydrophilic Interaction Liquid Chromatography for Pharmaceutical Analysis Using a Combination of Quantitative Structure-Retention Relationships and Design of Experiments
Maryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A
|
September 17, 2017
Towards a chromatographic similarity index to establish localised Quantitative Structure-Retention Relationships for retention prediction. III Combination of Tanimoto similarity index, logP, and retention factor ratio to identify optimal analyte training sets for ion chromatography
Soo Hyun Park, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A
|
January 7, 2017
Retention prediction of low molecular weight anions in ion chromatography based on quantitative structure-retention relationships applied to the linear solvent strength model
Soo Hyun Park, Paul R Haddad, Mohammad Talebi, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
|
January 30, 2003
Measurement of paclitaxel in biological matrices: high-throughput liquid chromatographic-tandem mass spectrometric quantification of paclitaxel and metabolites in human and dog plasma
Michael S Alexander, Melissa M Kiser, Travis Culley, et al.
Journal of Chromatography. A
|
March 15, 2017
Towards a chromatographic similarity index to establish localised quantitative structure-retention relationships for retention prediction. II Use of Tanimoto similarity index in ion chromatography
Soo Hyun Park, Mohammad Talebi, Ruth I J Amos, et al.
Journal of Chromatography. A
|
February 11, 2016
Enhanced methodology for porting ion chromatography retention data
Soo Hyun Park, Robert A Shellie, Greg W Dicinoski, et al.
Journal of Chromatography. A
|
October 11, 2016
Towards a chromatographic similarity index to establish localized quantitative structure-retention models for retention prediction: Use of retention factor ratio
Eva Tyteca, Mohammad Talebi, Ruth Amos, et al.
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of 2
Search research articles
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Showing results (11-20 of 20) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 20 results.
Journal of Chemical Information and Modeling
|
October 14, 2017
Benchmarking of Computational Methods for Creation of Retention Models in Quantitative Structure-Retention Relationships Studies
Ruth I J Amos, Eva Tyteca, Mohammad Talebi, et al.
Journal of Chromatography. A
|
October 18, 2017
Error measures in quantitative structure-retention relationships studies
Maryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Electrophoresis
|
April 7, 2019
Retention prediction using quantitative structure-retention relationships combined with the hydrophobic subtraction model in reversed-phase liquid chromatography
Yabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
Analytical Chemistry
|
February 18, 2017
Rapid Method Development in Hydrophilic Interaction Liquid Chromatography for Pharmaceutical Analysis Using a Combination of Quantitative Structure-Retention Relationships and Design of Experiments
Maryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A
|
September 17, 2017
Towards a chromatographic similarity index to establish localised Quantitative Structure-Retention Relationships for retention prediction. III Combination of Tanimoto similarity index, logP, and retention factor ratio to identify optimal analyte training sets for ion chromatography
Soo Hyun Park, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A
|
January 7, 2017
Retention prediction of low molecular weight anions in ion chromatography based on quantitative structure-retention relationships applied to the linear solvent strength model
Soo Hyun Park, Paul R Haddad, Mohammad Talebi, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
|
January 30, 2003
Measurement of paclitaxel in biological matrices: high-throughput liquid chromatographic-tandem mass spectrometric quantification of paclitaxel and metabolites in human and dog plasma
Michael S Alexander, Melissa M Kiser, Travis Culley, et al.
Journal of Chromatography. A
|
March 15, 2017
Towards a chromatographic similarity index to establish localised quantitative structure-retention relationships for retention prediction. II Use of Tanimoto similarity index in ion chromatography
Soo Hyun Park, Mohammad Talebi, Ruth I J Amos, et al.
Journal of Chromatography. A
|
February 11, 2016
Enhanced methodology for porting ion chromatography retention data
Soo Hyun Park, Robert A Shellie, Greg W Dicinoski, et al.
Journal of Chromatography. A
|
October 11, 2016
Towards a chromatographic similarity index to establish localized quantitative structure-retention models for retention prediction: Use of retention factor ratio
Eva Tyteca, Mohammad Talebi, Ruth Amos, et al.
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of 2