ambiguous_functions: GAPGOM internal - Ambiguous/prediction functions

In Berghopper/GAPGOM: GAPGOM (novel Gene Annotation Prediction and other GO Metrics)

Description

These functions are ambiguous/standardized functions that help make the enrichment analysis steps more streamlined. Most measures have their own specific way of their scores being calculated. For this, they have their own function clauses.

Usage

.ambiguous_score_rev_sort(score_df)

.ambiguous_score_sort(score_df)

.ambiguous_enrichment(args, ordered_score_df)

.ambiguous_method_origin(df, methodname)

.predict_pearson(args)

.predict_spearman(args)

.predict_kendall(args)

.predict_fisher(args)

.predict_sobolev(args)

.predict_combined(args)

.ambiguous_scorecalc(args, expression_data, applyfunc)

.score_pearson(args)

.score_spearman(args)

.score_kendall(args)

.score_fisher(args)

.score_sobolev(args)

.score_combined(args)

Value

output is different on a case-to-case basis

Notes

These functions are internal functions and should not be called by the user.

Berghopper/GAPGOM documentation built on July 2, 2020, 11:57 p.m.