Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Richard S Judson

Showing results (1-10 of 103) with videos related to

Pageof 11
Sort By:
Methods in Molecular Biology (Clifton, N.J.)|June 18, 2016
In Silico Study of In Vitro GPCR Assays by QSAR ModelingKamel Mansouri, Richard S Judson
Environmental Science & Technology|September 28, 2019
Ensemble QSAR Modeling to Predict Multispecies Fish Toxicity Lethal Concentrations and Points of DepartureThomas Y Sheffield, Richard S Judson
Plos One|July 26, 2018
Uncertainty quantification in ToxCast high throughput screeningEric D Watt, Richard S Judson
Journal of Cheminformatics|September 20, 2018
Exploring non-linear distance metrics in the structure-activity space: QSAR models for human estrogen receptorIlya A Balabin, Richard S Judson
Toxicology Mechanisms and Methods|December 22, 2009
Toxicity data informatics: supporting a new paradigm for toxicity predictionAnn M Richard, Chihae Yang, Richard S Judson
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
Toxicology and Applied Pharmacology|July 21, 2019
Identification of potential endocrine disrupting chemicals using gene expression biomarkersJ Christopher Corton, Nicole C Kleinstreuer, Richard S Judson
Toxicological Sciences : an Official Journal of the Society of Toxicology|August 13, 2010
A novel framework for predicting in vivo toxicities from in vitro data using optimal methods for dense and sparse matrix reordering and logistic regressionPeter A DiMaggio, Ashwin Subramani, Richard S Judson, et al.
Regulatory Toxicology and Pharmacology : RTP|March 1, 2017
Retrospective mining of toxicology data to discover multispecies and chemical class effects: Anemia as a case studyRichard S Judson, Matthew T Martin, Grace Patlewicz, et al.
Journal of Cheminformatics|March 10, 2018
OPERA models for predicting physicochemical properties and environmental fate endpointsKamel Mansouri, Chris M Grulke, Richard S Judson, et al.
Pageof 11

Showing results (1-10 of 103) with videos related to

Sort By:
Pageof 11
Methods in Molecular Biology (Clifton, N.J.)|June 18, 2016
In Silico Study of In Vitro GPCR Assays by QSAR ModelingKamel Mansouri, Richard S Judson
Environmental Science & Technology|September 28, 2019
Ensemble QSAR Modeling to Predict Multispecies Fish Toxicity Lethal Concentrations and Points of DepartureThomas Y Sheffield, Richard S Judson
Plos One|July 26, 2018
Uncertainty quantification in ToxCast high throughput screeningEric D Watt, Richard S Judson
Journal of Cheminformatics|September 20, 2018
Exploring non-linear distance metrics in the structure-activity space: QSAR models for human estrogen receptorIlya A Balabin, Richard S Judson
Toxicology Mechanisms and Methods|December 22, 2009
Toxicity data informatics: supporting a new paradigm for toxicity predictionAnn M Richard, Chihae Yang, Richard S Judson
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
Toxicology and Applied Pharmacology|July 21, 2019
Identification of potential endocrine disrupting chemicals using gene expression biomarkersJ Christopher Corton, Nicole C Kleinstreuer, Richard S Judson
Toxicological Sciences : an Official Journal of the Society of Toxicology|August 13, 2010
A novel framework for predicting in vivo toxicities from in vitro data using optimal methods for dense and sparse matrix reordering and logistic regressionPeter A DiMaggio, Ashwin Subramani, Richard S Judson, et al.
Regulatory Toxicology and Pharmacology : RTP|March 1, 2017
Retrospective mining of toxicology data to discover multispecies and chemical class effects: Anemia as a case studyRichard S Judson, Matthew T Martin, Grace Patlewicz, et al.
Journal of Cheminformatics|March 10, 2018
OPERA models for predicting physicochemical properties and environmental fate endpointsKamel Mansouri, Chris M Grulke, Richard S Judson, et al.
Pageof 11