Jun 2, 2016

Fast and Robust Segmentation of Copy Number Profiles Using Multi-Scale Edge Detection

BioRxiv : the Preprint Server for Biology
Ivo W KweeFrancesco Bertoni

Abstract

Raw copy number data is highly dimensional, noisy and can suffer from so-called genomic wave artifacts. We introduce a novel method based on multi-scale edge detection in derivative space. By using derivatives, the algorithm was very fast and robust against genomic waves. Our method compared very well to existing state-of-the-art segmentation methods and importantly outperformed these if noise and wave artifacts were well present.

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Mentioned in this Paper

Biologic Segmentation
Derivatives
2-Dimensional
Genome
Anatomical Space Structure
Genomics
Analogs & derivatives
Detection

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