TAILIEUCHUNG - Báo cáo y học: "Consistent dissection of the protein interaction network by combining global and local metrics"

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: Consistent dissection of the protein interaction network by combining global and local metrics. | Open Access Method Consistent dissection of the protein interaction network by combining global and local metrics Chunlin Wang Chris Ding Qiaofeng Yang and Stephen R Holbrook Addresses Physical Biosciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Division of Infectious Diseases School of Medicine Stanford University Stanford CA 94035 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Correspondence Chunlin Wang. Email wangcl@. Stephen R Holbrook. Email SRHolbrook@ Published 21 December 2007 Genome 2007 8 R27l doi gb-2007-8-l2-r27l The electronic version of this article is the complete one and can be found online at http 2007 8 l2 R27l Received 22 June 2007 Revised l4 December 2007 Accepted 2l December 2007 2008 Wang 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 We propose a new network decomposition method to systematically identify protein interaction modules in the protein interaction network. Our method incorporates both a global metric and a local metric for balance and consistency. We have compared the performance of our method with several earlier approaches on both simulated and real datasets using different criteria and show that our method is more robust to network alterations and more effective at discovering functional protein modules. Background Protein complexes are building blocks of cellular components and pathways. A comprehensive understanding of a biological system requires knowledge about how protein complexes are assembled regulated and organized to form cellular components and perform cellular functions. The emergence of a variety of genomic and proteomic techniques

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