Logistic regression (classification)
Open in:QDB ExplorerQDB Predictor
Name | Type | n | Accuracy |
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predicted Binding Class | training | 5529 | N/A |
When using this QDB archive, please cite (see details) it together with the original article:
Garcia-Sosa, A. T. Data for: Using combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA data. QsarDB repository, QDB.234. 2020. https://doi.org/10.15152/QDB.234
Garcia-Sosa, A. T.; Maran, U. Using combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA data. Toxicological Sciences 2020.
dc.date.accessioned | 2020-07-07T10:58:21Z | |
dc.date.available | 2020-07-07T10:58:21Z | |
dc.date.issued | 2020-07-07 | |
dc.identifier.uri | http://hdl.handle.net/10967/234 | |
dc.identifier.uri | http://dx.doi.org/10.15152/QDB.234 | |
dc.description.abstract | To be written | |
dc.publisher | Alfonso T. Garcia-Sosa | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Garcia-Sosa, A. T.; Maran, U. Using combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA data. Toxicological Sciences 2020. | |
qdb.property.endpoint | 4. Human health effects 4.18. Endocrine Activity | en_US |
qdb.descriptor.application | Glide | en_US |
qdb.descriptor.application | JChem | en_US |
bibtex.entry | article | en_US |
bibtex.entry.author | Garcia-Sosa, A. T. | |
bibtex.entry.author | Maran, U. | |
bibtex.entry.journal | Toxicological Sciences | en_US |
bibtex.entry.month | Dec | |
bibtex.entry.title | Using combined docking, chemical fingerprints, and Bayesian classifiers for the androgen receptor binding activity of the CoMPARA data | en_US |
bibtex.entry.year | 2020 | |
qdb.model.type | Regression model (classification) | en_US |
Name | Description | Format | Size | View |
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newQDB.zip | Article Garcia-Sosa and Maran | application/zip | 1.564Mb | View/ |