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VLBNs - Very Large Boolean Networks

<p>This archive contains instances of Boolean networks (in BoolNet format) generated from scale-free random network structure, on which has been applied the inhibitor-dominant rule to devise the logical functions.</p> <p>The generated networks range from 1,000 to 100,000 nodes, with in-degrees ranging up to 1400.</p> <p>Contents:</p> <ul> <li><a href="https://nbviewer.jupyter.org/urls/zenodo.org/record/3714876/files/Analysis.ipynb/%3Fdownload%3D1">Analysis.ipynb</a>: in/out-degree scatter plots of the generated networks</li> <li><a href="https://nbviewer.jupyter.org/urls/zenodo.org/record/3714876/files/Generation.ipynb/%3Fdownload%3D1">Generation.ipynb</a>: notebook used to generate the networks (requirs colomoto_jupyter python module)</li> <li>random-{N}-{id}.bnet:&nbsp; generated Boolean networks with N components</li> </ul>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Topics