Báo cáo y học: "An improved method for detecting and delineating genomic regions with altered gene expression in cancer"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: An improved method for detecting and delineating genomic regions with altered gene expression in cancer. | Method Open Access An improved method for detecting and delineating genomic regions with altered gene expression in cancer Bjorn Nilsson 1 Mikael Johansson Anders Heyden Sven Nelander and Thoas Fioretos Addresses 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 Malmo University Malmo SE-205 06 Malmo Sweden. Computational Biology Center Memorial Sloan-Kettering Cancer Center New York NY 10021 USA. Correspondence Bjorn Nilsson. Email Published 21 January 2008 Received II June 2007 Genome Biology 2008 9 R13 doi 186 gb-2008-9-1-r13 Accepted 21 January 2008 The electronic version of this article is the complete one and can be found online at http 2008 9 1 R13 2008 Nilsson et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. Background Alterations in gene expression patterns resulting from acquired genetic and epigenetic changes are a .

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