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Wiener Klinische Wochenschrift
|
November 21, 1980
[Developments in the serological diagnosis of malignant diseases]
K Moser, F Dorner, M Francesconi, 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
|
January 5, 2017
Prediction of retention in hydrophilic interaction liquid chromatography using solute molecular descriptors based on chemical structures
Maryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A
|
July 31, 2012
Determination of pharmaceutically related compounds by suppressed ion chromatography: IV. Interfacing ion chromatography with universal detectors
Naama Karu, Joseph P Hutchinson, Greg W Dicinoski, et al.
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.
Nature Communications
|
July 8, 2016
High potential for weathering and climate effects of non-vascular vegetation in the Late Ordovician
P Porada, T M Lenton, A Pohl, 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.
Journal of Chromatography. A
|
June 8, 2017
Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems
Maryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Analytical Chemistry
|
June 29, 2018
Retention Index Prediction Using Quantitative Structure-Retention Relationships for Improving Structure Identification in Nontargeted Metabolomics
Yabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
Journal of Chromatography. A
|
February 19, 2018
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model
Yabin Wen, Mohammad Talebi, Ruth I J Amos, et al.
Page
of 24
Search research articles
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Showing results (181-190 of 231) with videos related to
Sort By:
Page
of 24
Wiener Klinische Wochenschrift
|
November 21, 1980
[Developments in the serological diagnosis of malignant diseases]
K Moser, F Dorner, M Francesconi, 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
|
January 5, 2017
Prediction of retention in hydrophilic interaction liquid chromatography using solute molecular descriptors based on chemical structures
Maryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A
|
July 31, 2012
Determination of pharmaceutically related compounds by suppressed ion chromatography: IV. Interfacing ion chromatography with universal detectors
Naama Karu, Joseph P Hutchinson, Greg W Dicinoski, et al.
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.
Nature Communications
|
July 8, 2016
High potential for weathering and climate effects of non-vascular vegetation in the Late Ordovician
P Porada, T M Lenton, A Pohl, 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.
Journal of Chromatography. A
|
June 8, 2017
Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems
Maryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Analytical Chemistry
|
June 29, 2018
Retention Index Prediction Using Quantitative Structure-Retention Relationships for Improving Structure Identification in Nontargeted Metabolomics
Yabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
Journal of Chromatography. A
|
February 19, 2018
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model
Yabin Wen, Mohammad Talebi, Ruth I J Amos, et al.
Page
of 24