Open WorldDiscovery GitHub
← Research library
2022ICLR

GeneDisco: A Benchmark for Experimental Design in Drug Discovery

Arash Mehrjou, Ashkan Soleymani, Andrew Jesson et al.

What this work does

Evaluates batch acquisition policies and counterfactual outcome estimators over curated genetic-intervention screens.

Connection to discovery

A reproducible finite-pool baseline for sample-efficient experiment selection using biological measurements.

Evidence

The body specifies a finite collection of measured outcomes, treatment embeddings and alternative acquisition functions, with predictive error as a benchmark objective.

Scope and limitations

The benchmark reveals already recorded outcomes. Improving predictive MSE or selecting hits is narrower than recovering a mechanistic causal explanation or executing new wet-lab experiments.

THE RESEARCH CONVERSATION

Discussion & reactions

Share a question, an insight, or a replication experience. Sign in with GitHub to join the conversation.

Open GitHub discussions ↗