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  • 08_Other_Analytics_Types
  • 02_Chemistry_and_Life_Sciences
  • 04_Prediction_Of_Drug_Purpose
  • 03_Co-occurrence_Network
WorkflowWorkflow

Network of co-occuring Drug Names

Co-occurrence networks Network creator Visualization Drug prediction Life sciences
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This workflow describes the network creation process and specifically creates the drug-drug co-occurence network. Here, we use the Network Creator node to create an empty network that can be filled with new nodes and edges by using the Object Inserter. Afterwards, we predict the ATC codes and create visual properties (color & shape) for the nodes within the network. These properties can be added by using the Feature Inserter node. After doing so, we use the Network Viewer JS (hidden in the View component) to visualize the network.

External resources

  • Predicting the Purpose of a Drug

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    KNIME profile image
    knime
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    KNIME Expressions Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    KNIME profile image
    knime
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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    KNIME profile image
    knime
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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    KNIME profile image
    knime
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    KNIME Network Mining Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    KNIME profile image
    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    KNIME profile image
    knime
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    KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

    KNIME profile image
    knime
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