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Jenny Balfer

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

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Journal of Chemical Information and Modeling|August 20, 2014
Introduction of a methodology for visualization and graphical interpretation of Bayesian classification modelsJenny Balfer, Jürgen Bajorath
Plos One|March 6, 2015
Systematic artifacts in support vector regression-based compound potency prediction revealed by statistical and activity landscape analysisJenny Balfer, Jürgen Bajorath
Journal of Chemical Information and Modeling|May 20, 2015
Visualization and Interpretation of Support Vector Machine Activity PredictionsJenny Balfer, Jürgen Bajorath
Journal of Chemical Information and Modeling|August 20, 2013
Searching for closely related ligands with different mechanisms of action using machine learning and mapping algorithmsJenny Balfer, Martin Vogt, Jürgen Bajorath
Molecular Informatics|August 4, 2016
Compound Structure-Independent Activity Prediction in High-Dimensional Target SpaceJenny Balfer, Ye Hu, Jürgen Bajorath
Molecular Informatics|August 5, 2016
Hit Expansion from Screening Data Based upon Conditional Probabilities of Activity Derived from SAR MatricesDisha Gupta-Ostermann, Jenny Balfer, Jürgen Bajorath
Molecular Informatics|August 5, 2016
Determination of Meta-Parameters for Support Vector Machine Linear CombinationsSwarit Jasial, Jenny Balfer, Martin Vogt, et al.
Chemical Biology & Drug Design|January 30, 2014
Modeling of compound profiling experiments using support vector machinesJenny Balfer, Kathrin Heikamp, Stefan Laufer, et al.
Journal of Chemical Information and Modeling|May 23, 2013
Classification of compounds with distinct or overlapping multi-target activities and diverse molecular mechanisms using emerging chemical patternsVigneshwaran Namasivayam, Ye Hu, Jenny Balfer, et al.
Journal of Chemical Information and Modeling|May 8, 2014
Prediction of compounds in different local structure-activity relationship environments using emerging chemical patternsVigneshwaran Namasivayam, Disha Gupta-Ostermann, Jenny Balfer, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of Chemical Information and Modeling|August 20, 2014
Introduction of a methodology for visualization and graphical interpretation of Bayesian classification modelsJenny Balfer, Jürgen Bajorath
Plos One|March 6, 2015
Systematic artifacts in support vector regression-based compound potency prediction revealed by statistical and activity landscape analysisJenny Balfer, Jürgen Bajorath
Journal of Chemical Information and Modeling|May 20, 2015
Visualization and Interpretation of Support Vector Machine Activity PredictionsJenny Balfer, Jürgen Bajorath
Journal of Chemical Information and Modeling|August 20, 2013
Searching for closely related ligands with different mechanisms of action using machine learning and mapping algorithmsJenny Balfer, Martin Vogt, Jürgen Bajorath
Molecular Informatics|August 4, 2016
Compound Structure-Independent Activity Prediction in High-Dimensional Target SpaceJenny Balfer, Ye Hu, Jürgen Bajorath
Molecular Informatics|August 5, 2016
Hit Expansion from Screening Data Based upon Conditional Probabilities of Activity Derived from SAR MatricesDisha Gupta-Ostermann, Jenny Balfer, Jürgen Bajorath
Molecular Informatics|August 5, 2016
Determination of Meta-Parameters for Support Vector Machine Linear CombinationsSwarit Jasial, Jenny Balfer, Martin Vogt, et al.
Chemical Biology & Drug Design|January 30, 2014
Modeling of compound profiling experiments using support vector machinesJenny Balfer, Kathrin Heikamp, Stefan Laufer, et al.
Journal of Chemical Information and Modeling|May 23, 2013
Classification of compounds with distinct or overlapping multi-target activities and diverse molecular mechanisms using emerging chemical patternsVigneshwaran Namasivayam, Ye Hu, Jenny Balfer, et al.
Journal of Chemical Information and Modeling|May 8, 2014
Prediction of compounds in different local structure-activity relationship environments using emerging chemical patternsVigneshwaran Namasivayam, Disha Gupta-Ostermann, Jenny Balfer, et al.
Pageof 1