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J Amos

Showing results (101-110 of 144) with videos related to

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Analytica Chimica Acta|January 1, 2018
Chemometric-assisted method development in hydrophilic interaction liquid chromatography: A reviewMaryam 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 structuresMaryam Taraji, Paul R Haddad, Ruth I J Amos, 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 StudiesRuth I J Amos, Eva Tyteca, Mohammad Talebi, et al.
The British Journal of Ophthalmology|October 26, 2013
How to help children with neurodevelopmental and visual problems: a scoping reviewC Williams, K Northstone, C Borwick, et al.
Journal of Chromatography. A|October 18, 2017
Error measures in quantitative structure-retention relationships studiesMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Cosmetic Science|May 20, 2009
Evaluation of novel synthetic conditioning polymers for shampoosS L Jordan, X Zhang, J Amos, et al.
Organic & Biomolecular Chemistry|November 21, 2012
Mechanistic investigation of the oxidation of hydrazides: implications for the activation of the TB drug isoniazidRuth I J Amos, Brendon S Gourlay, Brian F Yates, et al.
Advances in Experimental Medicine and Biology|January 1, 1991
Identification of cystic fibrosis mutationsM Dean, B Gerrard, C Stewart, et al.
Hematological Oncology|January 1, 1987
Cytosine arabinoside in the management of recurrent leukaemiaT S Ganesan, M J Barnett, R 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 chromatographySoo Hyun Park, Paul R Haddad, Ruth I J Amos, et al.
Pageof 15

Showing results (101-110 of 144) with videos related to

Sort By:
Pageof 15
Analytica Chimica Acta|January 1, 2018
Chemometric-assisted method development in hydrophilic interaction liquid chromatography: A reviewMaryam 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 structuresMaryam Taraji, Paul R Haddad, Ruth I J Amos, 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 StudiesRuth I J Amos, Eva Tyteca, Mohammad Talebi, et al.
The British Journal of Ophthalmology|October 26, 2013
How to help children with neurodevelopmental and visual problems: a scoping reviewC Williams, K Northstone, C Borwick, et al.
Journal of Chromatography. A|October 18, 2017
Error measures in quantitative structure-retention relationships studiesMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Cosmetic Science|May 20, 2009
Evaluation of novel synthetic conditioning polymers for shampoosS L Jordan, X Zhang, J Amos, et al.
Organic & Biomolecular Chemistry|November 21, 2012
Mechanistic investigation of the oxidation of hydrazides: implications for the activation of the TB drug isoniazidRuth I J Amos, Brendon S Gourlay, Brian F Yates, et al.
Advances in Experimental Medicine and Biology|January 1, 1991
Identification of cystic fibrosis mutationsM Dean, B Gerrard, C Stewart, et al.
Hematological Oncology|January 1, 1987
Cytosine arabinoside in the management of recurrent leukaemiaT S Ganesan, M J Barnett, R 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 chromatographySoo Hyun Park, Paul R Haddad, Ruth I J Amos, et al.
Pageof 15