Internal function to identify the boundaries of transcriptionally active regions using a sliding window algorithm.
The sliding window algorithm uses fixed windows with a length of 100 nt that slides across the coverage-depth data table
and finds segments of coverage depth highly and statistically correlated with a vector of 100 integers modeling
a simple shape of sharp increases (or decreases) in transcription: x =???[0..0,1..1] (or x =???[1..1,0..0])).
Usage
detect.sid.points(cd, sizeWindow, verbose = TRUE)
Arguments
cd
A data table containing the coverage depth of an RNA-seq expression profile(s).
sizeWindow
An annotation data table.
verbose
Details
With default values, segments having a positive correlation coefficient (exceeding 0.7) and a significant correlation test p-value (