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KSTAR 1 documentation
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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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KSTAR 1 documentation
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