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Journal of Chemical Information and Modeling
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May 7, 2020
Using Predicted Bioactivity Profiles to Improve Predictive Modeling
Ulf Norinder, Ola Spjuth, Fredrik Svensson
Molecular Pharmaceutics
|
February 23, 2013
In silico categorization of in vivo intrinsic clearance using machine learning
Ya-Wen Hsiao, Urban Fagerholm, Ulf Norinder
Chemical Research in Toxicology
|
December 19, 2022
Predicting Endocrine Disruption Using Conformal Prediction - A Prioritization Strategy to Identify Hazardous Chemicals with Confidence
Maria Sapounidou, Ulf Norinder, Patrik L Andersson
Archives of Toxicology
|
January 21, 2026
Classification of industrial chemicals for respiratory chemosensory irritation using the TRPV1-expressing neuronal SH-SY5Y cell model and machine learning
María Hinojosa, Gunnar Johanson, Ulf Norinder, et al.
Analytical and Bioanalytical Chemistry
|
January 21, 2026
Molecular networking, conformal predictions and revised fingerprint-based models for discovering endocrine disruptors in mixtures
Yvonne Kreutzer, Ida Rahu, Ulf Norinder, et al.
Toxicology in Vitro : an International Journal Published in Association with BIBRA
|
January 29, 2018
Predicting skin sensitizers with confidence - Using conformal prediction to determine applicability domain of GARD
Andy Forreryd, Ulf Norinder, Tim Lindberg, et al.
Molecular Informatics
|
August 2, 2016
Benchmarking Variable Selection in QSAR
Martin Eklund, Ulf Norinder, Scott Boyer, et al.
Future Medicinal Chemistry
|
May 11, 2011
Trade-off between accuracy and interpretability for predictive in silico modeling
Ulf Johansson, Cecilia Sönströd, Ulf Norinder, et al.
Journal of Chemical Information and Modeling
|
September 28, 2019
LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity-Application to the Tox21 and Mutagenicity Data Sets
Jin Zhang, Daniel Mucs, Ulf Norinder, et al.
Journal of Chemical Information and Modeling
|
May 7, 2014
Introducing conformal prediction in predictive modeling. A transparent and flexible alternative to applicability domain determination
Ulf Norinder, Lars Carlsson, Scott Boyer, et al.
Page
of 9
Search research articles
Search
Showing results (21-30 of 85) with videos related to
Sort By:
Page
of 9
Journal of Chemical Information and Modeling
|
May 7, 2020
Using Predicted Bioactivity Profiles to Improve Predictive Modeling
Ulf Norinder, Ola Spjuth, Fredrik Svensson
Molecular Pharmaceutics
|
February 23, 2013
In silico categorization of in vivo intrinsic clearance using machine learning
Ya-Wen Hsiao, Urban Fagerholm, Ulf Norinder
Chemical Research in Toxicology
|
December 19, 2022
Predicting Endocrine Disruption Using Conformal Prediction - A Prioritization Strategy to Identify Hazardous Chemicals with Confidence
Maria Sapounidou, Ulf Norinder, Patrik L Andersson
Archives of Toxicology
|
January 21, 2026
Classification of industrial chemicals for respiratory chemosensory irritation using the TRPV1-expressing neuronal SH-SY5Y cell model and machine learning
María Hinojosa, Gunnar Johanson, Ulf Norinder, et al.
Analytical and Bioanalytical Chemistry
|
January 21, 2026
Molecular networking, conformal predictions and revised fingerprint-based models for discovering endocrine disruptors in mixtures
Yvonne Kreutzer, Ida Rahu, Ulf Norinder, et al.
Toxicology in Vitro : an International Journal Published in Association with BIBRA
|
January 29, 2018
Predicting skin sensitizers with confidence - Using conformal prediction to determine applicability domain of GARD
Andy Forreryd, Ulf Norinder, Tim Lindberg, et al.
Molecular Informatics
|
August 2, 2016
Benchmarking Variable Selection in QSAR
Martin Eklund, Ulf Norinder, Scott Boyer, et al.
Future Medicinal Chemistry
|
May 11, 2011
Trade-off between accuracy and interpretability for predictive in silico modeling
Ulf Johansson, Cecilia Sönströd, Ulf Norinder, et al.
Journal of Chemical Information and Modeling
|
September 28, 2019
LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity-Application to the Tox21 and Mutagenicity Data Sets
Jin Zhang, Daniel Mucs, Ulf Norinder, et al.
Journal of Chemical Information and Modeling
|
May 7, 2014
Introducing conformal prediction in predictive modeling. A transparent and flexible alternative to applicability domain determination
Ulf Norinder, Lars Carlsson, Scott Boyer, et al.
Page
of 9