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Topological Analysis of Axon Guidance Network for Homo Sapiens

Topological Analysis of Axon Guidance Network for Homo Sapiens

Xuning Chen, Weiping Zhu
Copyright: © 2011 |Pages: 10
ISBN13: 9781609600648|ISBN10: 1609600649|EISBN13: 9781609600662
DOI: 10.4018/978-1-60960-064-8.ch009
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MLA

Chen, Xuning, and Weiping Zhu. "Topological Analysis of Axon Guidance Network for Homo Sapiens." Interdisciplinary Research and Applications in Bioinformatics, Computational Biology, and Environmental Sciences, edited by Limin Angela Liu, et al., IGI Global, 2011, pp. 93-102. https://doi.org/10.4018/978-1-60960-064-8.ch009

APA

Chen, X. & Zhu, W. (2011). Topological Analysis of Axon Guidance Network for Homo Sapiens. In L. Liu, D. Wei, & Y. Li (Eds.), Interdisciplinary Research and Applications in Bioinformatics, Computational Biology, and Environmental Sciences (pp. 93-102). IGI Global. https://doi.org/10.4018/978-1-60960-064-8.ch009

Chicago

Chen, Xuning, and Weiping Zhu. "Topological Analysis of Axon Guidance Network for Homo Sapiens." In Interdisciplinary Research and Applications in Bioinformatics, Computational Biology, and Environmental Sciences, edited by Limin Angela Liu, Dongqing Wei, and Yixue Li, 93-102. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-064-8.ch009

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Abstract

Axonal outgrowth is usually guided by a variety of guidance factors, such as netrins, ephrins, slits and semaphorins, and is one of the critical steps for the proper formation of neural networks. However, how the signal molecules function and why some of these play more important roles than others in guiding the axonal directional outgrowth has not been fully understood. In this study, we try to solve the problem by using the complex network analysis method. The signal molecules and interactions are treated as the nodes and edges to construct the axon guidance network model for Homo sapiens. The data of the model are taken from the KEGG database, and an analysis workbench named Integrative Visual Analysis Tool for Biological Networks and Pathways (VisANT) is employed to analyze the topological properties, including the degree distribution and the top co-expressed genes of the axon guidance network. This study has just opened a window into understanding the mechanism of axon guidance.

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