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https://doi.org/10.5281/zenodo.3719097

Notebooks demonstrating Most Permissive Boolean Networks

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



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Notebooks demonstrating Most Permissive Boolean Networks

https://doi.org/10.5281/zenodo.3719097

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



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https://doi.org/10.5281/zenodo.3719097

Notebooks demonstrating Most Permissive Boolean Networks

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

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      Notebooks demonstrating Most Permissive Boolean Networks
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      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
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      Notebooks demonstrating Most Permissive Boolean Networks
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      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

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