zf-rbm

Code to accompany Van der Plas*, Tubiana* et al., 2023, eLife

https://github.com/vdplasthijs/zf-rbm

Science Score: 23.0%

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    Found 1 DOI reference(s) in README
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    Links to: biorxiv.org
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    Low similarity (4.8%) to scientific vocabulary
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Code to accompany Van der Plas*, Tubiana* et al., 2023, eLife

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Created over 6 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

Code for Van der Plas, Tubiana and colleagues, 2023 eLife

Source:

https://elifesciences.org/articles/83139

and former bioRxiv preprint:

https://www.biorxiv.org/content/10.1101/2021.11.09.467900v1

We welcome you to reuse this code, and ask you to please cite our eLife article if you do.

Instructions:

  • All figures were generated in whole by notebooks in /zf-rbm/figure_notebooks/. All other folders are just data for the notebooks and modules figure_notebooks/ or archived code.
  • The package versions are documented in /zf-rbm/zf-rbm-py37.yml.
  • Some computing-intensive code is in another repo, vdplasthijs/dnp-code/ -- in particular calculation of model stats vs experimental stats of Fig 2, and some cRBM-related stuff.
  • The cRBM code is extensively documented including tutorials in the repo https://github.com/jertubiana/PGM, and described in detail in our elife paper.
  • Data is available at https://gin.g-node.org/vdplasthijs/cRBM_zebrafish_spontaneous_data

Owner

  • Name: Thijs van der Plas
  • Login: vdplasthijs
  • Kind: user
  • Location: Oxford, UK
  • Company: The Alan Turing Institute

Post doctoral researcher @ The Alan Turing Institute

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