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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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      • 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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Recent Accepted Papers

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ADME Prediction with KNIME: Development and Validation of a Publicly Available Workflow for the Prediction of Human Oral Bioavailability

ADME prediction with KNIME: In silico aqueous solubility consensus model based on supervised recursive random forest approaches

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”

SCIENTIFIC ACTIVITY
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  • Recent Accepted Papers
    • ADME Prediction with KNIME: Development and Validation of a Publicly Available Workflow for the Prediction of Human Oral Bioavailability
    • ADME prediction with KNIME: In silico aqueous solubility consensus model based on supervised recursive random forest approaches
    • 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
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