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Python package for SCM-based simulation of gene perturbation data and benchmarking of causal structure learning algorithms.

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luka-kovacevic/causalregnet

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causalregnet

This is a library for simulating realistic single-cell RNA sequencing data based on a given causal structure, scalable to the dimension of genome-wide gene perturbation screens.

Implementation of method developed in "Simulation-based Benchmarking of Causal Structure Learning in Gene Perturbation Experiments".

Installation guide

  1. Download the package from GitHub
git clone https://github.com/luka-kovacevic/causalregnet
  1. Navigate to the package
cd causalregnet/
  1. Check your environment (ensure it's the same one you're using to run code)

  2. Install the package

pip install .

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Python package for SCM-based simulation of gene perturbation data and benchmarking of causal structure learning algorithms.

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