TAILIEUCHUNG - Báo cáo y học: ": Combined analysis reveals a core set of cycling genes"

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: Combined analysis reveals a core set of cycling genes. | Open Access Combined analysis reveals a core set of cycling genes Yong Lu Shaun Mahony Panayiotis V Benos Roni Rosenfeld Itamar Simon Linda L Breeden and Ziv Bar-Joseph Addresses Department of Computer Science Carnegie Mellon University Forbes Avenue Pittsburgh Pennsylvania 15213 USA. Department of Computational Biology University of Pittsburgh Medical School Lothrop Street Pittsburgh Pennsylvania 15213 USA. Machine Learning Department Carnegie Mellon University Forbes Avenue Pittsburgh Pennsylvania 15213 USA. Department of Molecular Biology Hebrew University Medical School Jerusalem Israel 91120. Basic Sciences Division Fred Hutchinson Cancer Center Fairview Avenue N Seattle Washington 98109 USA. Correspondence Ziv Bar-Joseph. Email zivbj@ Published 24 July 2007 Genome Biology 2007 8 R146 doi gb-2007-8-7-r146 The electronic version of this article is the complete one and can be found online at http 2007 8 7 R146 Received 30 March 2007 Revised 19 June 2007 Accepted 24 July 2007 2007 Lu 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 Background Global transcript levels throughout the cell cycle have been characterized using microarrays in several species. Early analysis of these experiments focused on individual species. More recently a number of studies have concluded that a surprisingly small number of genes conserved in two or more species are periodically transcribed in these species. Combining and comparing data from multiple species is challenging because of noise in expression data the different synchronization and scoring methods used and the need to determine an accurate set of homologs. Results To solve these problems we developed and applied a new algorithm to .

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