Q. Zang

发表

Identification of heparin samples that contain impurities or contaminants by chemometric pattern recognition analysis of proton NMR spectral data

D. Mital, S. Srinivasan, S. Haque, 2011, Analytical and bioanalytical chemistry.

CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

Ruili Huang, Igor V. Tetko, Eva Bay Wedebye, 2016, Environmental health perspectives.

Multivariate models for prediction of human skin sensitization hazard

David Allen, Nicole Kleinstreuer, Judy Strickland, 2017, Journal of applied toxicology : JAT.

Prediction of skin sensitization potency using machine learning approaches

David Allen, Nicole Kleinstreuer, Judy Strickland, 2017, Journal of applied toxicology : JAT.

ehp CERAPP : Collaborative Estrogen Receptor Activity Prediction Project

Ruili Huang, Igor V. Tetko, Eva Bay Wedebye, 2016 .

Infant Supplement Quality Evaluation by Inductively Coupled Plasma – Mass Spectrometry, Gas Chromatography, and Isotope Ratio Mass Spectrometry

Q. Zang, P. Li, G. Cristea, 2018, Analytical Letters.

DISCRIMINATION OF ACCEPTABLE AND CONTAMINATED HEPARIN BY CHEMOMETRIC ANALYSIS OF PROTON NUCLEAR MAGNETIC RESONANCE SPECTRAL DATA

Q. Zang, A. Dissertation, 2011 .

Integrated decision strategies for skin sensitization hazard

W. Casey, J. Strickland, Q. Zang, 2018, Journal of applied toxicology : JAT.

Non-animal methods to predict skin sensitization (II): an assessment of defined approaches**

Bertrand Desprez, Martina Klaric, David Allen, 2018, Critical reviews in toxicology.

Non-animal methods to predict skin sensitization (I): the Cosmetics Europe database*

Bertrand Desprez, Martina Klaric, David Allen, 2018, Critical reviews in toxicology.

Integrated decision strategies for skin sensitization hazard

David Allen, Nicole Kleinstreuer, Judy Strickland, 2016, Journal of applied toxicology : JAT.

Determination of galactosamine impurities in heparin samples by multivariate regression analysis of their 1H NMR spectra

William J. Welsh, Lucinda F. Buhse, Moheb Nasr, 2011, Analytical and bioanalytical chemistry.

In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning

Antony J. Williams, Kamel Mansouri, Richard S. Judson, 2017, J. Chem. Inf. Model..

Combining (1)H NMR spectroscopy and chemometrics to identify heparin samples that may possess dermatan sulfate (DS) impurities or oversulfated chondroitin sulfate (OSCS) contaminants.

Lucinda F Buhse, Moheb Nasr, Qingda Zang, 2011, Journal of pharmaceutical and biomedical analysis.

Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure-Activity Relationship and Machine Learning Methods

Richard S. Judson, Qingda Zang, Daniel M. Rotroff, 2013, J. Chem. Inf. Model..

Class modeling analysis of heparin 1H NMR spectral data using the soft independent modeling of class analogy and unequal class modeling techniques.

Lucinda F Buhse, Moheb Nasr, Qingda Zang, 2011, Analytical chemistry.

Using ToxCast/Tox21 Assays and QSAR Modeling to Predict Androgen Receptor Pathway Activity

R. Judson, K. Houck, Matt T. Martin, 2015 .

Prediction of skin sensitization potency using machine learning approaches

W. Casey, J. Strickland, Q. Zang, 2017, Journal of applied toxicology : JAT.