NodeExpand Bit Vector

Manipulator

This node splits the Bit Vector to integer columns.

The Bit Vector Generator node generates some position and name information as metadata. You can use that information in this node.

Input Ports

  1. Port Type: Data
    Table containing at least one bit vector column.

Output Ports

  1. Port Type: Data
    Table with generated columns.

  1. Model Optimization and Selection

    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementat…
    shima0011 > 04_Analytics > 11_Optimization > 08_Model_Optimization_and_Selection

  2. Validating KNIME Workflows

    reproducibility validation testing XGBoost RDKit
    This workflow demonstrates how to take a standard KNIME workflow and adapt it to be deployable as a web service using th…
    knime > Examples > 50_Applications > 51_Model_Deployment_and_Validation > 01_Deploying_and_Validating_models_as_WebServices

  3. TeachOpenCADD Workflow 7: Ligand-based screening: Machine learning

    Ligand-based screening Machine learning Random forest Support vector machine Artificial neural networks
    With the continuously increasing amount of available data, machine learning (ML) gained momentum in drug discovery and e…
    volkamerlab > TeachOpenCADD_Workflow7_Machine_learning > TeachOpenCADD_Workflow7_Machine_learning

  4. Model Optimization and Selection

    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementat…
    knime > Examples > 04_Analytics > 11_Optimization > 08_Model_Optimization_and_Selection

  5. 03_Bioactivity_Prediction_Learn_Testing

    parameter optimization loop machine learning
    This workflow is used for learning the model. It deploys a simple version of parameter optimzation protocol designed for…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates > 03_Bioactivity_Prediction_Learn_Testing

  6. TeachOpenCADD - a teaching platform for computer-aided drug design using KNIME

    ChEMBL query PDB query Molecular filtering Unwanted substructures Lipinski's rule of five Similarity search Compound clustering Maximum common substructure Machine learning
    The TeachOpenCADD KNIME pipeline consists of eight inter-connected workflows (W1-8) , each containing one topic in compu…
    volkamerlab > TeachOpenCADD > TeachOpenCADD

  7. Generate ChEMBL Predictions

    greglandrum > In progress > ONNX > Generate ChEMBL Predictions

  8. 03_Bioactivity_Prediction_Learn_All_Methods

    This workflow is used for learning the model. It deploys a complex parameter optimzation protocol for model building whe…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates > 03_Bioactivity_Prediction_Learn_All_Methods