ADM3 (version 1.3)

ADM3: Automated Detection Algorithm Interpretation.

Description

Performs change point detection on a "bed" formatted file.

Usage

ADM3(file, outfile, t=6, np=3, mr=0.3, autoCut=F)

Arguments

file

- "bed" formatted input file (chr, start, stop, value, score).

outfile

- output file location (a report of detected features).

t

- the main detection threshold - controls sensitivity - not recommended below 4.

np

- number of data points required to detect a feature.

mr

- minimum mean ratio to detect a segemnt.

autoCut

- attempt noise dependant auto filtering.

Value

A list containing input data (with detection score and feature indices) and a report (detected features).

Details

Performs change point detection on a bed formatted file and allows an error value to be applied to each probe. This is a highly efficent implementation - takes less than 2 mins to process 1 million data points (most of which is spend reading the input file!).

References

Agilent

See Also

http://www.home.agilent.com/agilent/home.jspx

Examples

#exampleADM3()