CAPTURING CELL HETEROGENEITY IN REPRESENTATIONS OF CELL POPULATIONS FOR IMAGE-BASED PROFILING USING CONTRASTIVE LEARNING.

Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning.

Image-based cell profiling is a powerful tool that compares perturbed cell populations by measuring thousands of single-cell features and summarizing them into profiles.Typically a sample is represented by averaging across cells, but this fails to capture the heterogeneity within cell populations.We introduce CytoSummaryNet: a Deep Sets-based appro

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