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Tutorial¶

Network Generation¶

  • Network Generation
    • Download pre-generated networks
    • Generate your own networks

Activity Prediction¶

  • Map Datasets to KinPred
    • Download and Process Dataset of Interest
    • Map the Dataset to KinPred
    • Explore the Mapped Dataset
  • Predict Kinase Activities
    • Determine Thresholds
    • Calculate Statistical Enrichment (Hypergeometric p-values)
    • Generate random datasets, run kinase activity on random datasets, normalize original analysis
    • Calculate Mann Whitney Significance
    • Save KSTAR Results

Plotting¶

  • Plotting
    • With Interactive Web App
    • In Python

Additional Analyses¶

  • Assessing KSTAR Networks and Activity Predictions
    • Load results and other necessary data (networks, binary evidence, etc.)
    • Identify relevant phosphorylation sites for a kinase of interest
    • Exploring Network and Experiment Coverage of Phosphorylation Sites

Table of Contents

Contents:

  • Overview
  • Dependencies
  • KSTAR
  • Getting Started
  • Tutorial
    • Network Generation
      • Network Generation
    • Activity Prediction
      • Map Datasets to KinPred
      • Predict Kinase Activities
    • Plotting
      • Plotting
    • Additional Analyses
      • Assessing KSTAR Networks and Activity Predictions
  • Analysis Examples
  • KSTAR in Parallel
  • Frequently Asked Questions

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