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BIRT Report bioactivity prediction

BIRT Report Bioactivity prediction

This workflow snippet demonstrates how to generate a simple BIRT report combining several elements: an image, a data table, and a table with images. The input data contains results of bioactivity prediction for chemical structures with four different machine learning methods.

Required extensions: KNIME Report Designer

Import data to BIRT Report Designer BIRT Report bioactivity predictionThis workflow snippet demonstrates how to generate a simple BIRT report combining several elements: an image, a data table, and a table with images. For more information check the workflow description: View > Description input.tableROC CurveStatistics TableRename Model NamecolumnData tablewith molecules Table Reader ROC Curve Binary ClassificationInspector Image to Report Data to Report String Manipulation Data to Report Transpose RowID Import data to BIRT Report Designer BIRT Report bioactivity predictionThis workflow snippet demonstrates how to generate a simple BIRT report combining several elements: an image, a data table, and a table with images. For more information check the workflow description: View > Description input.tableROC CurveStatistics TableRename Model NamecolumnData tablewith molecules Table Reader ROC Curve Binary ClassificationInspector Image to Report Data to Report String Manipulation Data to Report Transpose RowID

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: daria_knime
Created at: 2021-12-14
On NodePit since: 2021-12-18
Last update: 2024-04-27
Created with KNIME version: v4.5.0
Tags: Life SciencesBIRTchemistry

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