Description Usage Arguments Details Value Author(s) Examples
View source: R/correlated_regions_enrich.R
Normalize histone modification signals to target regions
1 | enrich_with_histone_mark(target, mark, sample_id, mode = mean, return_arr = FALSE, ...)
|
target |
target regions |
mark |
name of the histone mark |
sample_id |
a vector of sample IDs |
mode |
how to summarize histone modification signals among samples, by defualt is the cross-sample mean signal |
return_arr |
whether also return the three dimension array itself |
... |
pass to |
For each sample, the signal is normalized as a matrix, which results an array in which the third
dimension corresponds to samples. The final normalized matrix which shows e.g. mean signal matrix is calcualted
by apply(array, c(1, 2), mode).
If return_arr is set to FALSE, the funtion returns a matrix which can be directly sent to
EnrichedHeatmap. If return_arr is TRUE, the returned value is a list in which
the first element is the original array and the second element is the normalized matrix.
Zuguang Gu <z.gu@dkfz.de>
1 2 | # There is no example
NULL
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.