Ignet: A Centrality and INO-based Web System for Analyzing and Visualizing Literature-mined Networks

نویسندگان

  • Arzucan Özgür
  • Junguk Hur
  • Zuoshuang Xiang
  • Edison Ong
  • Dragomir R. Radev
  • Yongqun He
چکیده

Ignet (Integrative Gene Network) is a web-based system for dynamically updating and analyzing gene interaction networks mined using all PubMed abstracts. Four centrality metrics, namely degree, eigenvector, betweenness, and closeness are used to determine the importance of genes in the networks. Different gene interaction types between genes are classified using the Interaction Network Ontology (INO) that classifies interaction types in an ontological hierarchy along with individual keywords listed for each interaction type. An interactive user interface is designed to explore the interaction network as well as the centrality and ontology based network analysis. Availability: http://ignet.hegroup.org.

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تاریخ انتشار 2016