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Code for producing regression enrichment analysis

Project description

Regression Enrichment Surface

Under dev.

How to use Simple case: To produced average plots over some stratification (useful for dose response like data to produce results over types of cells for instance)

trues, preds = get_predicition_data()
rds_model = rds.RegressionDetectionSurface(percent_min=-3)
    rds_model.compute(trues, preds, samples=30)
    rds_model.plot(save_file=args.metric_plot_prefix + "rds_on_cell.png",
                   title='Regression Enrichment Surface (Avg over Unique Cells)')

To produced average plots over some stratification (useful for dose response like data to produce results over types of cells for instance)

trues, preds, labels = get_predicition_data()
rds_model = rds.RegressionDetectionSurface(percent_min=-3)
    rds_model.compute(trues, preds, stratify=labels, samples=30)
    rds_model.plot(save_file=args.metric_plot_prefix + "rds_on_cell.png",
                   title='Regression Enrichment Surface (Avg over Unique Cells)')
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Code for producing regression enrichment analysis

Features

  • TODO

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2020-01-01)

  • First release on PyPI.

Project details


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