Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Pathway and gene-set activation measurement from mRNA expression data: the tissue distribution of human pathways. | Open Access Research Pathway and gene-set activation measurement from mRNA expression data the tissue distribution of human pathways David M Levine David R Haynor John C Castle Sergey B Stepaniants Matteo Pellegrini Mao Mao and Jason M Johnson Addresses Rosetta Inpharmatics LLC a wholly owned subsidiary of Merck and Co. Inc. Terry Avenue North Seattle WA 98109 USA. Department of Radiology University of Washington Seattle WA 98195 USA. Department of MCD Biology University of California at Los Angeles Los Angeles CA 90095 USA. Correspondence Jason M Johnson. Email jason_johnson@ Published 17 October 2006 Genome Biology 2006 7 R93 doi 186 gb-2006-7-10-r93 The electronic version of this article is the complete one and can be found online at http 2006 7 10 R93 Received 12 July 2006 Revised 1 3 September 2006 Accepted 17 October 2006 2006 Levine 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 Interpretation of lists of genes or proteins with altered expression is a critical and time-consuming part of microarray and proteomics research but relatively little attention has been paid to methods for extracting biological meaning from these output lists. One powerful approach is to examine the expression of predefined biological pathways and gene sets such as metabolic and signaling pathways and macromolecular complexes. Although many methods for measuring pathway expression have been proposed a systematic analysis of the performance of multiple methods over multiple independent data sets has not previously been reported. Results Five different measures of pathway expression were compared in an analysis of nine publicly available mRNA expression data sets. The relative .
