Abstract
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.
| Original language | English (US) |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 1747 |
| State | Published - 2016 |
| Event | 2016 Joint International Conference on Biological Ontology and BioCreative - Food, Nutrition, Health and Environment for the 9 Billion, ICBO-BioCreative 2016 - Corvallis, United States Duration: Aug 1 2016 → Aug 4 2016 |
ASJC Scopus subject areas
- Computer Science(all)
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Özgür, A., Hur, J., Xiang, Z., Ong, E., Radev, D. R., & He, Y. (2016). Ignet: A centrality and INO-based web system for analyzing and visualizing literature-mined networks. CEUR Workshop Proceedings, 1747.