cr_hilbert: Hilbert curve visualization of correlated regions

In eilslabs/epic: Integrative Analysis and Visualization of Epigenomic Sequencing Data

Description

Hilbert curve visualization of correlated regions

Usage

cr_hilbert(cr, template, txdb, chromosome = paste0("chr", 1:22), merge_chr = TRUE)

Arguments

cr	filtered correlated regions from filter_correlated_regions
template	template path of cr objects, chromosome name should be marked by @{chr}
txdb	a TxDb object
chromosome	a vector of chromosome names
merge_chr	whether put chromsomes in one single plot

Details

It can both visualize unfiltered correlated regions (generated by correlated_regions) and significant correlated regions (generated by filter_correlated_regions). To visualize unfiltered cr, template should be specified and to visualize filtered correlated regions, cr should be specified.

Value

No value is returned

Author(s)

Zuguang Gu <[e-mail]>

Examples

# There is no example
NULL

eilslabs/epic documentation built on May 16, 2019, 1:24 a.m.