copairs
copairs is a Python package for evaluating the quality of morphology profiles by measuring how well a perturbation’s profile can be retrieved relative to controls.
It implements mean Average Precision (mAP) and related metrics widely used in the image-based profiling community.
Key capabilities:
- Define matched pairs based on experimental metadata
- Compute mean Average Precision (mAP) for retrieval assessment
- Evaluate intra- vs. inter-group morphological similarity
- Scale efficiently to large screening datasets
View documentation → · View on GitHub →
Publication #
Nature Communications · 2025
A versatile information retrieval framework for evaluating profile strength and similarity
Kalinin, A.A. et al. Nat. Commun. 16, 5181 (2025).