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ADME prediction with KNIME: In silico aqueous solubility consensus model based on supervised recursive random forest approaches
ADME Prediction with KNIME: Development and Validation of a Publicly Available Workflow for the Prediction of Human Oral Bioavailability
A Novel Automated Framework for QSAR Modeling of Highly Imbalanced Leishmania High-Throughput Screening Data
ADME prediction with KNIME: A retrospective contribution to the second “Solubility Challenge”
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ABOUT
PRODUCTS
EYEMOL
EYEMOL-TUTORIAL
PIMAPS
SERVICES
CONSULTANCY
TRAINING
DEVELOPMENT
SCIENTIFIC ACTIVITY
CURRENT PROJECTS
EVENTS
RECENTLY PUBLISHED PAPERS
ADME prediction with KNIME: In silico aqueous solubility consensus model based on supervised recursive random forest approaches
ADME Prediction with KNIME: Development and Validation of a Publicly Available Workflow for the Prediction of Human Oral Bioavailability
A Novel Automated Framework for QSAR Modeling of Highly Imbalanced Leishmania High-Throughput Screening Data
ADME prediction with KNIME: A retrospective contribution to the second “Solubility Challenge”
PUBLICATIONS
CONTACT
Pikaïros en français
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