compare.spear.real: Quantify correlation of predicted and experimental coverage

In EmmaDann/hexamerModel: Tools for modelling random hexamer primer binding

Description

For a given GRangesList, computes correlation between pred and exp profiles in every regions, in randomnly perputed regions and plots boxplot of comparisons, with p-value for Wilcoxon's test.

Usage

compare.spear.real(track.list, name.real = "WGS", method = "spearman")

Arguments

track.list	GRangesList object of sampled regions with experimental and predicted coverage
name.real	character, name of seq library
method	a character string indicating which correlation coefficient is to be computed. One of "pearson", "kendall", or "spearman" (default)

Value

list of vector for real correlation coefficients, for coefficients of random permutation, ggplot object of boxplot

EmmaDann/hexamerModel documentation built on May 5, 2019, 4:48 p.m.