The starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.

CausalBench is a comprehensive benchmark suite for evaluating network inference methods on perturbational single-cell gene expression data. CausalBench introduces several biologically meaningful performance metrics and operates on two large, curated and openly available benchmark data sets for evaluating methods on the inference of gene regulatory networks from single-cell data generated under perturbations.

Codebase, installation and use instructions will be made available shortly.