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Compute diffusion scores over networks

Project description

DiffuPy is a generalizable Python implementation of the numerous label propagation algorithms inspired by the diffuStats R package [1].


  1. diffupy can be installed with the following commands:

$ python3 -m pip install git+
  1. or in editable mode with:

$ git clone
$ cd diffupy
$ python3 -m pip install -e .

Command Line Interface

The following commands can be used directly use from your terminal:

1. Run a diffusion analysis The following command will run a diffusion method on a given network with the given data

$ python3 -m diffupy diffuse --network=<path-to-network-file> --input=<path-to-data-file> --method=<method>

2. Generate a kernel with one of the seven methods implemented Generates the regularised Laplian kernel of a given graph.

$ python3 -m diffupy kernel --network=<path-to-network-file>



DiffuPy is a scientific software that has been developed in an academic capacity, and thus comes with no warranty or guarantee of maintenance, support, or back-up of data.

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diffupy-0.0.1.tar.gz (429.7 kB view hashes)

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