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8. Categorizing Continuous Data in QSAR

9. Machine Learning Prediction of Molecular Initiating Events using Chemical Target Annotations and Gene Expression

10. Accessing bulk predicted QSAR data via batch search functionality in the CompTox Chemicals Dashboard

12. Predicting Molecular Initiating Events from High Throughput Transcriptomic Screening using Machine Learning

13. Determining the Predictive Limit of QSAR Models

14. Comparing performance of in silico metabolism tools using data derived from literature and non-targeted analysis

15. Predicting Compound Amenability with Liquid Chromatography Mass Spectrometry to Improve Non-targeted Analysis

16. New CSRML-based features to categorize and fingerprint PFAS structure lists for cheminformatics analysis and read-across

17. Establishing Best Practices for Water Solubility Dataset Curation

18. Representation and Enumeration of UVCB Substances to Enable QSAR Predictions for Substances with Structural Uncertainty

19. In silico and cheminformatics enrichment analysis to increase confidence in in vitro high-throughput screening (HTS) results: Application to Tox21 thyrotropin-releasing hormone receptor (TRHR) assay

20. Predicting Chromatography-tandem Mass Spectrometry Amenability to Improve Non-targeted Analysis

21. Web-based access to data for >600 disinfection by-products via the EPA CompTox Chemicals Dashboard

22. Inverting the SAR paradigm: Applications of a Chemotype-Enrichment Approach within EPA’s Computational Toxicology Programs

23. Developing a list of per- and polyfluoroalkyl (PFAS) chemicals from public domain databases

27. Findings from EPA's Non-Targeted Analysis Collaborative Trial (ENTACT)

30. CoMPARA : Collaborative Modeling Project for Androgen Receptor Activity

31. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity

34. Integrating Eawag, LCSB, MetFrag and CompTox Efforts in ENTACT

39. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity

43. Open Source QSAR Models For pKa Prediction Using Multiple Machine Learning Approaches

49. Adding Complex Expert Knowledge into Chemical Database and Transforming Surfactants in Wastewater.ppt

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