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Frank R Burden

Showing results (11-20 of 19) with videos related to

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Artificial Life|May 26, 2009
Predictive mesoscale network model of cell fate decisions during C. elegans embryogenesisDavid A Winkler, Frank R Burden, Julianne D Halley
Chemmedchem|June 12, 2010
Modelling inhalational anaesthetics using bayesian feature selection and QSAR modelling methodsDavid T Manallack, Frank R Burden, David A Winkler
Chemical Reviews|January 19, 2012
Quantitative structure-property relationship modeling of diverse materials propertiesTu Le, V Chandana Epa, Frank R Burden, et al.
Molecular Pharmaceutics|March 8, 2013
Predicting the complex phase behavior of self-assembling drug delivery nanoparticlesTu C Le, Xavier Mulet, Frank R Burden, et al.
Biopolymers|May 16, 2002
Influence of benign cellular changes in diagnosis of cervical cancer using IR microspectroscopyMelissa J Romeo, Michael A Quinn, Frank R Burden, et al.
Nano Letters|October 9, 2012
Modeling biological activities of nanoparticlesV Chandana Epa, Frank R Burden, Carlos Tassa, et al.
Stem Cell Research|January 31, 2015
Sparse feature selection identifies H2A.Z as a novel, pattern-specific biomarker for asymmetrically self-renewing distributed stem cellsYang Hoon Huh, Minsoo Noh, Frank R Burden, et al.
Journal of Chemical Information and Computer Sciences|November 25, 2003
Comparison of linear and nonlinear classification algorithms for the prediction of drug and chemical metabolism by human UDP-glucuronosyltransferase isoformsMichael J Sorich, John O Miners, Ross A McKinnon, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 2, 2015
Sparse feature selection methods identify unexpected global cellular response to strontium-containing materialsHélène Autefage, Eileen Gentleman, Elena Littmann, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Artificial Life|May 26, 2009
Predictive mesoscale network model of cell fate decisions during C. elegans embryogenesisDavid A Winkler, Frank R Burden, Julianne D Halley
Chemmedchem|June 12, 2010
Modelling inhalational anaesthetics using bayesian feature selection and QSAR modelling methodsDavid T Manallack, Frank R Burden, David A Winkler
Chemical Reviews|January 19, 2012
Quantitative structure-property relationship modeling of diverse materials propertiesTu Le, V Chandana Epa, Frank R Burden, et al.
Molecular Pharmaceutics|March 8, 2013
Predicting the complex phase behavior of self-assembling drug delivery nanoparticlesTu C Le, Xavier Mulet, Frank R Burden, et al.
Biopolymers|May 16, 2002
Influence of benign cellular changes in diagnosis of cervical cancer using IR microspectroscopyMelissa J Romeo, Michael A Quinn, Frank R Burden, et al.
Nano Letters|October 9, 2012
Modeling biological activities of nanoparticlesV Chandana Epa, Frank R Burden, Carlos Tassa, et al.
Stem Cell Research|January 31, 2015
Sparse feature selection identifies H2A.Z as a novel, pattern-specific biomarker for asymmetrically self-renewing distributed stem cellsYang Hoon Huh, Minsoo Noh, Frank R Burden, et al.
Journal of Chemical Information and Computer Sciences|November 25, 2003
Comparison of linear and nonlinear classification algorithms for the prediction of drug and chemical metabolism by human UDP-glucuronosyltransferase isoformsMichael J Sorich, John O Miners, Ross A McKinnon, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 2, 2015
Sparse feature selection methods identify unexpected global cellular response to strontium-containing materialsHélène Autefage, Eileen Gentleman, Elena Littmann, et al.
Pageof 2