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Notebooks demonstrating Most Permissive Boolean Networks

Paulevé, Loïc


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  <dc:creator>Paulevé, Loïc</dc:creator>
  <dc:date>2020-03-20</dc:date>
  <dc:description>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:


	MPBN applied to Bladder Tumorigenesis by Remy et al 2015.ipynb
	MPBN applied to T-Cell differentiation model by Abou-Jaoudé et al. 2015.ipynb
	MPBN applied to Tumour invasion model by Cohen et al. 2015.ipynb
	Scalability on large random BNs.ipynb
</dc:description>
  <dc:identifier>https://zenodo.org/record/3719097</dc:identifier>
  <dc:identifier>10.5281/zenodo.3719097</dc:identifier>
  <dc:identifier>oai:zenodo.org:3719097</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3719059</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3719029</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3719018</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3715516</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3715210</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3719096</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Jupyter notebooks</dc:subject>
  <dc:subject>Computational systems biology</dc:subject>
  <dc:title>Notebooks demonstrating Most Permissive Boolean Networks</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>other</dc:type>
</oai_dc:dc>
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