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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: Validation and refinement of gene-regulatory pathways on a network of physical interactions. | Method Open Access Validation and refinement of gene-regulatory pathways on a network of physical interactions Chen-Hsiang YeangH H Craig MakHt Scott McCuine Christopher Workman Tommi Jaakkola and Trey Ideker Addresses Center for Biomolecular Science and Engineering Baskin School of Engineering University of California at Santa Cruz Santa Cruz CA 95064 USA. Department of Bioengineering University of California at San Diego La Jolla CA 92093 USA. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA 02139 USA. H These authors contributed equally to this work. Correspondence Trey Ideker. E-mail trey@bioeng.ucsd.edu Published I July 2005 Genome Biology 2005 6 R62 doi I0.II86 gb-2005-6-7-r62 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2005 6 7 R62 Received 9 March 2005 Revised 3 May 2005 Accepted 3 June 2005 2005 Yeang 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 As genome-scale measurements lead to increasingly complex models of gene regulation systematic approaches are needed to validate and refine these models. Towards this goal we describe an automated procedure for prioritizing genetic perturbations in order to discriminate optimally between alternative models of a gene-regulatory network. Using this procedure we evaluate 38 candidate regulatory networks in yeast and perform four high-priority gene knockout experiments. The refined networks support previously unknown regulatory mechanisms downstream of SOK2 and SWI4. Background Recent advances in genomics and computational biology are enabling construction of large-scale models of gene-regulatory networks. High-throughput technologies .
