r.fdr: Significant Hits

In BHTSpack: Bayesian Multi-Plate High-Throughput Screening of Compounds

Description

This function determines significant hits, based on a specified expected FDR.

Usage

r.fdr(res, fdr=0.05)

Arguments

res	An output object from bhts().
fdr	Expected FDR (default is 0.05).

Value

This function returns a list consisting of the following elements:

res	A data frame containing significant hits and their probabilities.
r	The computed significant hit probability threshold.

Examples

 #See package vignette

BHTSpack documentation built on Feb. 8, 2021, 5:07 p.m.