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Báo cáo y học: "Searching for differentially expressed gene combinations"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Searching for differentially expressed gene combinations. | Method Open Access Searching for differentially expressed gene combinations Marcel Dettling Edward Gabrielson and Giovanni Parmigiani n Addresses Department of Oncology Johns Hopkins Medical Institutions Baltimore MD 21205 USA. ỶDepartment of Pathology Johns Hopkins Medical Institutions Baltimore MD 21205 USA. Department of Biostatistics Johns Hopkins Medical Institutions Baltimore MD 21205 USA. Correspondence Marcel Dettling. E-mail dettling@jhu.edu Published 19 September 2005 Genome Biology 2005 6 R88 doi 10.1 186 gb-2005-6-10-r88 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2005 6 10 R88 Received 4 April 2005 Revised 23 June 2005 Accepted 8 August 2005 2005 Dettling et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract We propose CorScor a novel approach for identifying gene pairs with joint differential expression. This is defined as a situation with good phenotype discrimination in the bivariate but not in the two marginal distributions. CorScor can be used to detect phenotype-related dependencies and interactions among genes. Our easily interpretable approach is scalable to current microarray dimensions and yields promising results on several cancer-gene-expression datasets. Background Gene-expression monitoring by microarray technologies has become an important approach in biological and medical research over the past decade. A common experimental design is the comparison of two sets of samples from different phenotypes diseases and normal tissue with the goal of searching for genes showing differential expression. This is usually done via statistical testing procedures and often subsequent multiple testing corrections. Prominent examples .