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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).

doi: 10.1038/s41467-025-60306-2