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Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy

Table 4

Model Performance Comparison With and Without Batch Correction (B.C.) on the LINCS Cell Painting dataset.

The downstream task is MoA classification and the performance metric is PR-AUC. The reported value is the mean of 10 experiments.

doi: https://doi.org/10.1371/journal.pcbi.1013828.t004