https://github.com/cbg-ethz/pancancer-clustering

Bayesian network modelling of mutational interactions identifies novel cancer subgroups

https://github.com/cbg-ethz/pancancer-clustering

Science Score: 26.0%

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  • DOI references
    Found 2 DOI reference(s) in README
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    Low similarity (2.8%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Bayesian network modelling of mutational interactions identifies novel cancer subgroups

Basic Info
  • Host: GitHub
  • Owner: cbg-ethz
  • License: gpl-3.0
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 4.71 MB
Statistics
  • Stars: 15
  • Watchers: 4
  • Forks: 1
  • Open Issues: 1
  • Releases: 0
Created about 9 years ago · Last pushed about 5 years ago
Metadata Files
Readme License

README.md

Supplementary information on pancancer clustering using Bayesian networks

This repository contains supplementary information, data and code for the pancancer clustering.

Mutational interactions define novel cancer subgroups

bioRxiv:187260

https://doi.org/10.1101/187260

Contributors

Jack Kuipers, Thomas Thurnherr

License

GNU GPL (see LICENSE file for more details)

Owner

  • Name: Computational Biology Group (CBG)
  • Login: cbg-ethz
  • Kind: organization
  • Location: Basel, Switzerland

Beerenwinkel Lab at ETH Zurich

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  • Total Committers: 4
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  • Development Distribution Score (DDS): 0.425
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  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jack Kuipers 3****s 23
Thomas Thurnherr t****g@g****m 8
Thomas Thurnherr t****r@g****m 8
David Seifert S****A 1

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  • Total pull request authors: 0
  • Average comments per issue: 0.0
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Past Year
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  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
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  • Average comments per issue: 0
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