new_majiq.PsiOutliers

class rna_majiq.PsiOutliers(cases, controls, alpha_case=None)

Outliers in PSI between cases and controls

Parameters:

• cases (Union[PsiCoverage, PsiGroup]) – PsiCoverage for prefixes that will be treated as cases

• controls (PsiControlsSummary) – Summary of PsiCoverage for prefixes that are treated as controls

• alpha_case (Union[float, None]) – Optional single float between 0 and 1 to use for cases instead of the controls_alpha array

__init__(cases, controls, alpha_case=None)

Methods

__init__(cases, controls[, alpha_case])
summarize_df_events(df_ecidx[, ...])	Summarize table in format of PsiOutliers.to_dataframe() to events
summarize_df_genes(df_events[, ...])	Summarize table from PsiOutliers.summarize_df_events() to genes
to_dataframe([sg, controls_min_experiments, ...])	Return table of comparisons between cases and controls

Attributes

cases_psi_quantile	Posterior quantiles of PSI (approximate posterior)
cases_q	Which quantiles will be evaluated for cases
dpsi_lb	dPSI from case quantiles vs controls median.
dpsi_lb_scaled	dPSI of case quantiles vs controls median scaled by controls interquantile range.
dpsi_quantile_gap	Gap in PSI between extreme quantiles of cases vs controls.
tail_probability	Probability that cases psi < ub quantile or psi > lb quantile