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Notebooks demonstrating Most Permissive Boolean Networks

Paulevé, Loïc


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    "description": "<p>These notebooks can be executed within <a href=\"http://colomoto.org/notebook\"><code>colomoto/colomoto-docker:2020-03-19</code></a> Docker image.</p>\n\n<p>They rely on the Python library <a href=\"https://github.com/pauleve/mpbn\">mpbn</a>, see the documentation for usage and examples at <a href=\"https://mpbn.readthedocs.io/\">https://mpbn.readthedocs.io</a></p>\n\n<p>Visualize online:</p>\n\n<ul>\n\t<li><a href=\"https://nbviewer.jupyter.org/urls/zenodo.org/record/3719097/files/MPBN%20applied%20to%20Bladder%20Tumorigenesis%20by%20Remy%20et%20al%202015.ipynb\">MPBN applied to Bladder Tumorigenesis by Remy et al 2015.ipynb</a></li>\n\t<li><a href=\"https://nbviewer.jupyter.org/urls/zenodo.org/record/3719097/files/MPBN%20applied%20to%20T-Cell%20differentiation%20model%20by%20Abou-Jaoud%C3%A9%20et%20al.%202015.ipynb\">MPBN applied to T-Cell differentiation model by Abou-Jaoud&eacute; et al. 2015.ipynb</a></li>\n\t<li><a href=\"https://nbviewer.jupyter.org/urls/zenodo.org/record/3719097/files/MPBN%20applied%20to%20Tumour%20invasion%20model%20by%20Cohen%20et%20al.%202015.ipynb\">MPBN applied to Tumour invasion model by Cohen et al. 2015.ipynb</a></li>\n\t<li><a href=\"https://nbviewer.jupyter.org/urls/zenodo.org/record/3719097/files/Scalability%20on%20large%20random%20BNs.ipynb\">Scalability on large random BNs.ipynb</a></li>\n</ul>", 
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