Description:

regressionenrichmentsurface 0.3.0

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.RegressionEnrichmentSurface(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.RegressionEnrichmentSurface(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)')



Code for producing regression enrichment analysis

Free software: MIT license
Documentation: https://regression-enrichment-surface.readthedocs.io.


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.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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