Metabolic pathway local enrichment analysis via random walks on metabolic reaction network
Project description
Rawk
A python package for metabolic pathway local enrichment analysis via random walks on metabolic reaction network.
Install
Note that Rawk currently can only be installed from the source files in this repository.
Rawk will be available on PyPI soon.
Documentation
Tutorials
The tutorials of Rawk are in the docs/tutorials folder,
which contains the following tutorials:
construct_recon3d_mrn.md: Construct a metabolic reaction network from a genome scale metabolic model.example_mouse_data_analysis.md: Run Rawk standard analysis workflow on an example mouse dataset.example_human_data_analysis.md: Run Rawk standard analysis workflow on an example human dataset.
API reference
The API reference files of Rawk are in
docs/api_reference. The API reference files were
generated from the package docstrings. The docstrings can also be accessed
using help in python interpreter. For example, help(rawk.Rawk) shows the
documentation of the Rawk class.
Troubleshooting
If you encounter any error related to tkinter multi-threading, try rerunning
with parameters set to use only one CPU core.
Notice about license
This project is released under a Non-Commercial Research License. For commercial use, please contact licensing@chop.edu for licensing terms.
Project details
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