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Other Open Access

Notebooks demonstrating Most Permissive Boolean Networks

Paulevé, Loïc

These notebooks can be executed within colomoto/colomoto-docker:2020-03-19 Docker image.

They rely on the Python library mpbn, see the documentation for usage and examples at https://mpbn.readthedocs.io

Visualize online:

Files (1.4 MB)
Name Size
MPBN applied to Bladder Tumorigenesis by Remy et al 2015.ipynb
md5:abb771baf9b920a96832ca25a0ddbe89
290.7 kB Download
MPBN applied to T-Cell differentiation model by Abou-Jaoudé et al. 2015.ipynb
md5:1dbc8aee0b0ba287afb5d53ee7629453
655.9 kB Download
MPBN applied to Tumour invasion model by Cohen et al. 2015.ipynb
md5:87d9b91e3a916bd43678447cde6a5a00
415.4 kB Download
Scalability on large random BNs.ipynb
md5:64b4aaa5b22b12933b30ca5e43f0e248
50.3 kB Download
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