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Qingda Zang

Showing results (1-10 of 12) with videos related to

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Journal of Chemical Information and Modeling|November 28, 2013
Binary classification of a large collection of environmental chemicals from estrogen receptor assays by quantitative structure-activity relationship and machine learning methodsQingda Zang, Daniel M Rotroff, Richard S Judson
Journal of Chemical Information and Modeling|December 24, 2016
In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine LearningQingda Zang, Kamel Mansouri, Antony J Williams, et al.
Journal of Applied Toxicology : JAT|August 3, 2016
Multivariate models for prediction of human skin sensitization hazardJudy Strickland, Qingda Zang, Michael Paris, et al.
Journal of Applied Toxicology : JAT|January 12, 2017
Prediction of skin sensitization potency using machine learning approachesQingda Zang, Michael Paris, David M Lehmann, et al.
Journal of Applied Toxicology : JAT|February 7, 2016
Integrated decision strategies for skin sensitization hazardJudy Strickland, Qingda Zang, Nicole Kleinstreuer, et al.
Journal of Pharmaceutical and Biomedical Analysis|January 11, 2011
Combining (1)H NMR spectroscopy and chemometrics to identify heparin samples that may possess dermatan sulfate (DS) impurities or oversulfated chondroitin sulfate (OSCS) contaminantsQingda Zang, David A Keire, Richard D Wood, et al.
Analytical Chemistry|January 4, 2011
Class modeling analysis of heparin 1H NMR spectral data using the soft independent modeling of class analogy and unequal class modeling techniquesQingda Zang, David A Keire, Richard D Wood, et al.
Analytical and Bioanalytical Chemistry|October 19, 2010
Determination of galactosamine impurities in heparin samples by multivariate regression analysis of their (1)H NMR spectraQingda Zang, David A Keire, Richard D Wood, et al.
Analytical and Bioanalytical Chemistry|June 17, 2011
Identification of heparin samples that contain impurities or contaminants by chemometric pattern recognition analysis of proton NMR spectral dataQingda Zang, David A Keire, Lucinda F Buhse, et al.
Critical Reviews in Toxicology|February 24, 2018
Non-animal methods to predict skin sensitization (II): an assessment of defined approaches <sup>*</sup>Nicole C Kleinstreuer, Sebastian Hoffmann, Nathalie Alépée, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Journal of Chemical Information and Modeling|November 28, 2013
Binary classification of a large collection of environmental chemicals from estrogen receptor assays by quantitative structure-activity relationship and machine learning methodsQingda Zang, Daniel M Rotroff, Richard S Judson
Journal of Chemical Information and Modeling|December 24, 2016
In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine LearningQingda Zang, Kamel Mansouri, Antony J Williams, et al.
Journal of Applied Toxicology : JAT|August 3, 2016
Multivariate models for prediction of human skin sensitization hazardJudy Strickland, Qingda Zang, Michael Paris, et al.
Journal of Applied Toxicology : JAT|January 12, 2017
Prediction of skin sensitization potency using machine learning approachesQingda Zang, Michael Paris, David M Lehmann, et al.
Journal of Applied Toxicology : JAT|February 7, 2016
Integrated decision strategies for skin sensitization hazardJudy Strickland, Qingda Zang, Nicole Kleinstreuer, et al.
Journal of Pharmaceutical and Biomedical Analysis|January 11, 2011
Combining (1)H NMR spectroscopy and chemometrics to identify heparin samples that may possess dermatan sulfate (DS) impurities or oversulfated chondroitin sulfate (OSCS) contaminantsQingda Zang, David A Keire, Richard D Wood, et al.
Analytical Chemistry|January 4, 2011
Class modeling analysis of heparin 1H NMR spectral data using the soft independent modeling of class analogy and unequal class modeling techniquesQingda Zang, David A Keire, Richard D Wood, et al.
Analytical and Bioanalytical Chemistry|October 19, 2010
Determination of galactosamine impurities in heparin samples by multivariate regression analysis of their (1)H NMR spectraQingda Zang, David A Keire, Richard D Wood, et al.
Analytical and Bioanalytical Chemistry|June 17, 2011
Identification of heparin samples that contain impurities or contaminants by chemometric pattern recognition analysis of proton NMR spectral dataQingda Zang, David A Keire, Lucinda F Buhse, et al.
Critical Reviews in Toxicology|February 24, 2018
Non-animal methods to predict skin sensitization (II): an assessment of defined approaches <sup>*</sup>Nicole C Kleinstreuer, Sebastian Hoffmann, Nathalie Alépée, et al.
Pageof 2