Analyzing DNA copy number changes using fused margin regression

Yuanjian Feng*, Guoqiang Yu, Tian Li Wang, Ie Ming Shih, Yue Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

DNA copy number change is an important form of structural variations in human genomes. Detecting copy number changes using DNA array data is a challenging task due to high density genomic loci, low signal to noise ratios, and normal tissue contamination. We propose fused margin regression (FMR) method that combines a variable fusion rule and robust ε-insensitive loss criterion to approximate piecewise constant segments of the underlying copy number profile. We tested FMR on both simulation and real CGH and SNP array datasets, and observed competitively improved performance as compared to several widely-adopted existing methods.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009
Pages388-391
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009 - Washington, D.C., United States
Duration: 01 11 200904 11 2009

Publication series

Name2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009

Conference

Conference2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009
Country/TerritoryUnited States
CityWashington, D.C.
Period01/11/0904/11/09

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