Genome Biology

official impact factor 6.89

Open Access Highly Access Method

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

Björn Nilsson3,1,2*, Mikael Johansson4, Anders Heyden5, Sven Nelander6 and Thoas Fioretos1

Author Affiliations

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

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

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

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

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

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

For all author emails, please log on.

Genome Biology 2008, 9:R13 doi:10.1186/gb-2008-9-1-r13

Published: 21 January 2008

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.