copairs
Table of Contents
copairs is a Python package for evaluating the quality of morphological 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
Publication #
Nature Communications · 2025
A versatile information retrieval framework for evaluating profile strength and similarity
Kalinin AA, Arevalo J, Serrano E, Vulliard L, Tsang H, et al.