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DiffuPy |build| |docs| |coverage|
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DiffuPy is a generalizable Python implementation of the null diffusion algorithm for metabolomics data described by [1].
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The package enables running the algorithm in heterogenous networks by abstracting
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`NetworkX <http://networkx.github.io/>`_ classes.
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DiffuPy is a generalizable Python implementation of the numerous label propagation algorithms inspired by the `diffuStats <https://github.com/b2slab/diffuStats>`_ R package [1]_.
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Installation
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$ python3 -m diffupy kernel
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Citation
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If you use diffuPy in your work, please cite the R implementation of the null diffusion algorithm [1]_ (more info in `diffuStats <https://github.com/b2slab/diffuStats>`_):
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References
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.. [1] Picart-Armada, S., *et al.* (2017). `Null diffusion-based enrichment for metabolomics data <https://doi.org/10.1371/journal.pone.0189012>`_. *PloS one* 12.12.
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