pyspi: Statistics for Pairwise Interactions
pyspi GitHub
  • Welcome to pyspi
    • Citing pyspi
  • Installing and using pyspi
    • Installation
      • Alternative Installation Options
      • Troubleshooting
    • Usage
      • Walkthrough Tutorials
        • Getting Started: A Simple Demonstration
        • Neuroimaging: fMRI Time Series
        • Finance: Stock Price Time Series
        • Distributing Calculations
      • Advanced Usage
        • Creating a reduced SPI set
        • Distributing calculations on a cluster
      • FAQ
  • Information about pyspi
    • SPIs
      • Glossary of Terms
      • Table of SPIs
      • SPI Descriptions
        • Basic Statistics
        • Distance Similarity
        • Causal Inference
        • Information Theory
        • Spectral
        • Miscellaneous
      • SPI Subsets
    • API Reference
      • pyspi.calculator.CorrelationFrame
      • pyspi.calculator.Calculator
      • pyspi.data.Data
      • pyspi.calculator.CalculatorFrame
      • pyspi.utils.filter_spis
    • Publications using pyspi
    • Related Packages
  • Development
    • Development
      • Incorporating new SPIs
      • Contributing to pyspi
      • Code of Conduct
    • License
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On this page
  • Original Paper 📕
  • Applications Papers
  1. Information about pyspi

Publications using pyspi

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Last updated 1 year ago

This page lists scientific research publications that have used pyspi. In cases where journal articles are not open access (marked by 📗), we also provide a link to the freely accessible preprint (marked by 📙). Links to GitHub code repositories (marked by ) are also provided where possible. To summarise:

  • 📗 = Journal is not open access.

  • 📙 = Freely accessible pre-print.

  • = Code available.

Original Paper 📕


Applications Papers

The following publications have utilised pyspi for a variety of real-world applications including:

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Introduced pyspi as a comprehensive library of statistics of pairwise interactions and assessed their behaviour on a range of real-world and simulated systems.

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Extracting interpretable disorder-specific dynamical signatures from fMRI neuroimaging data.

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A comprehensive empirical exploration of different connectivity metrics using resting-state fMRI.

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TBA.

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Benchmarking methods for mapping functional connectivity in the brain.

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Nature Computational Science (2023).
arXIv preprint (2023)
GitHub repository
bioRxiv (2024).
Code
bioRxiv (2024).
bioRxiv (2024)