calc.enrich: Calculate enrichment of features across thresholds

In aaronwolen/bingd: Bayesian integration of genomic data

Description

gwas must be annotated with annotate.gwas OR a feature.list must be provided.

Usage

calc.enrich(object, feature.list, stat, thresh.levels)

## S4 method for signature 'GWAS,FeatureList'
calc.enrich(object, feature.list, stat,
  thresh.levels)

## S4 method for signature 'AnnotatedGWAS,missing'
calc.enrich(object, feature.list, stat,
  thresh.levels)

Arguments

object	GWAS object
feature.list	FeatureList object created with hub.features or local.features
stat	numeric vector containing statistic to which thresholds will be applied for each enrichment calculation
thresh.levels	a numeric vector containing the various thresholds at which feature enrichment is calculated

aaronwolen/bingd documentation built on May 10, 2019, 4:04 a.m.