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Project repository of the Matters Arising commentary "Multivariate BWAS can be replicable with moderate sample sizes in some cases""

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Complete analysis source code for:

Replicable Multivariate BWAS with moderate sample sizes

Tamas Spisak, Ulrike Bingel, Tor Wager, Nature, 2022


Project webpage:

spisakt.github.io/BWAS_comment


How to get the data?

  • Option 1: contact the authors for credentials and get it with get_data.ipynb in one minute (this option is for collaborators only).
  • Option 2: Get the data manually from ConnectomeDB. See hcp_data/readme.md for details.

How to run?

  • Run the analyses with 1 click (in the cloud)

    • Binder
    • Open in GitHub Codespaces
  • Set up everything to run in 5 mins (locally on your computer)

    • install docker
    • run docker run -it -p 8080:8080 -p 8888:8888 tspisak/bwas:latest jupyter notebook
    • copy paste the last link in your browser.

What is what in the repository?

Main analysis notebooks:

Extended analysis: replicability of 52 phenotypes:

Plotting results:

Supplementary analysis notebooks:

Data: HCP1200 release Data source: ConnectomeDB. See hcp_data/readme.md


How to cite?

T. Spisak, U. Bingel, T. Wager, Multivariate BWAS can be replicable with moderate sample sizes in some cases, accepted in Nature