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An improved method for detecting and delineating genomic regions with altered gene expression in cancer

Björn Nilsson1,2,3 email, Mikael Johansson4 email, Anders Heyden5 email, Sven Nelander6 email and Thoas Fioretos1 email

Department of Clinical Genetics, Lund University Hospital, SE-221 85 Lund, Sweden

Department of Transfusion Medicine, Lund University Hospital, SE-221 85 Lund, Sweden

Imaging Platform, Broad Institute of Harvard University and MIT, Cambridge, MA 02142, USA

Department of Automatic Control, Royal Institute of Technology, SE-100 44 Stockholm, Sweden

Department of Applied Mathematics, Malmö University, Malmö, SE-205 06 Malmö, Sweden

Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA

author email corresponding author email

Genome Biology 2008, 9:R13doi:10.1186/gb-2008-9-1-r13

Published: 21 January 2008

Subject areas: Bioinformatics, Cancer, Genome studies

Abstract

Genomic regions with altered gene expression are a characteristic feature of cancer cells. We present a novel method for identifying such regions in gene expression maps. This method is based on total variation minimization, a classical signal restoration technique. In systematic evaluations, we show that our method combines top-notch detection performance with an ability to delineate relevant regions without excessive over-segmentation, making it a significant advance over existing methods. Software (Rendersome) is provided.


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