jade.RAbD package¶
Subpackages¶
jade.RAbD.AnalyzeAntibodyDesigns module¶
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class
jade.RAbD.AnalyzeAntibodyDesigns.
CompareAntibodyDesignStrategies
(db_dir, out_dir_name, strategies=[], jsons=[])[source]¶ Class mainly for comparing different Antibody Design strategies using our Features Databases.
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get_csv_data
(top=False, summary=False)[source]¶ Get data by converting everything to a pandas dataframe first. For now, one function pretty much does everything.
Return type: [pandas.Dataframe],[str]
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get_top_dataframe_by_all_scores
()[source]¶ Get a pandas DataFrame for top, grouped by the type of score that is on. :rtype: pandas.DataFrame
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get_top_from_dataframe
(score_name)[source]¶ Gets a pandas Dataframe for top :rtype: pandas.DataFrame
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output_csv_data
(top=False, summary=False)[source]¶ Output a CSV file of combined or individual data.
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class
jade.RAbD.AnalyzeAntibodyDesigns.
Perc
(count, total)[source]¶ Simple class for holding enrichment/recovery information
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jade.RAbD.AnalyzeAntibodyDesigns.
calculate_enrichments
(all_decoy_data, cdr, decoy_list=None)[source]¶ Returns defaultdict of [count_type] : Perc
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jade.RAbD.AnalyzeAntibodyDesigns.
calculate_observed_value
(value, all_decoy_data, cdr, decoy_list=None)[source]¶ Calculate the enrichment of some value