Báo cáo y học: " Identification of co-regulated transcripts affecting male body size in Drosophila"

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: Identification of co-regulated transcripts affecting male body size in Drosophila. | Method Open Access Identification of co-regulated transcripts affecting male body size in Drosophila Cynthia J Coffman Marta L Wayne Sergey V Nuzhdin Laura A Higgins and Lauren M McIntyre Addresses Health Services Research and Development Biostatistics Unit Durham VA Medical Center 152 Durham NC 27705 USA. Duke University Medical Center Department of Biostatistics and Bioinformatics Durham NC 27710 USA. Department of Zoology University of Florida Gainesville FL 32611 USA. Department Ecology and Evolution University of California at Davis Davis CA 95616 USA. Department of Agronomy Purdue University West Lafayette IN 47907 USA. Correspondence Lauren M McIntyre. E-mail lmcintyre@ Published I June 2005 Genome Biology 2005 6 R53 doi 186 gb-2005-6-6-r53 The electronic version of this article is the complete one and can be found online at http 2005 6 6 R53 Received 20 January 2005 Revised 21 February 2005 Accepted 9 May 2005 2005 Coffman 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 Factor analysis is an analytic approach that describes the covariation among a set of genes through the estimation of factors which may be for example transcription factors microRNAs miRNAs and so on by which the genes are co-regulated. Factor analysis gives a direct mechanism by which to relate gene networks to complex traits. Using simulated data we found that factor analysis clearly identifies the number and structure of factors and outperforms hierarchical cluster analysis. Noise genes genes that are not correlated with any factor can be distinguished even when factor structure is complex. Applied to body size in Drosophila simulans an evolutionarily important complex trait a factor was directly .

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