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EClerize: A customized force-directed graph drawing algorithm for biological graphs with EC attributes

机译:生态化:具有EC属性的生物图的定制力针对图绘图算法

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摘要

Visualizing large-scale data produced by the high throughput experiments as a biological graph leads to better understanding and analysis. This study describes a customized force-directed layout algorithm, EClerize, for biological graphs that represent pathways in which the nodes are associated with Enzyme Commission (EC) attributes. The nodes with the same EC class numbers are treated as members of the same cluster. Positions of nodes are then determined based on both the biological similarity and the connection structure. EClerize minimizes the intra-cluster distance, that is the distance between the nodes of the same EC cluster and maximizes the inter-cluster distance, that is the distance between two distinct EC clusters. EClerize is tested on a number of biological pathways and the improvement brought in is presented with respect to the original algorithm. EClerize is available as a plug-in to Cytoscape (http://apps.cytoscape.org/apps/eclerize).
机译:可视化由高吞吐量实验产生的大规模数据作为生物图导致更好的理解和分析。 本研究描述了一种定制的力定向布局算法,生成的生物图,其代表节点与酶委员会(EC)属性相关的途径。 具有相同EC类编号的节点被视为同一群集的成员。 然后基于生物相似度和连接结构确定节点的位置。 生态化最小化群集内距离,即相同EC集群的节点之间的距离,并最大化群集间距离,即两个不同的EC集群之间的距离。 在许多生物途径上测试了生态化,并相对于原始算法提出了所带来的改进。 Eclerize可作为Cytoscape作为插件(http://apps.cytoscape.org/apps/eclerize)。

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