2.evaluate_data

Apply phenotypic profiling models to JUMP data

This module generates single-cell probabilities for 15 phenotypic classes using trained morphology models. Current workflows focus on class-balanced logistic regression prediction runs and related per-plate processing.

Outputs are written as parquet files with phenotypic probabilities and relevant metadata.

Run predictions

To generate probabilities, run evaluate_data.sh:

# make sure you are in the 2.evaluate_data directory
cd 2.evaluate_data
# run prediction pipeline
source evaluate_data.sh

evaluate_data.sh executes the active prediction workflow in class_balanced_log_reg_areashape_predict_sc_probabilities/.