The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments

The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.

GeneDisco (to be published at ICLR-22) is a benchmark suite for evaluating active
learning algorithms for experimental design in drug discovery.
GeneDisco contains a curated set of multiple publicly available experimental data sets as well as open-source
implementations of state-of-the-art active learning policies for experimental design and exploration.

Install

pip install -r requirements.txt

Use

Setup

Create a cache directory. This will hold any preprocessed and downloaded datasets for faster future invocation.
- $ mkdir /path/to/genedisco_cache
- Replace the above with your desired cache directory location.