@conference {BP01,
	title = {BP01: Ignet: A centrality and INO-based web system for analyzing and visualizing literature-mined networks},
	booktitle = {International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016)},
	series = {Proceedings of the Joint International Conference on Biological Ontology and BioCreative (2016)},
	year = {2016},
	month = {11/30/16},
	publisher = {CEUR-ws.org Volume 1747},
	organization = {CEUR-ws.org Volume 1747},
	abstract = {<p>Ignet (Integrative Gene Network) is a web-based system for dynamical- ly updating and analyzing gene interaction networks mined using all Pub- Med abstracts. Four centrality metrics, namely degree, eigenvector, be- tweenness, 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 net- work analysis. Availability: http://ignet.hegroup.org.</p>
},
	url = {http://ceur-ws.org/Vol-1747/BP01_ICBO2016.pdf},
	author = {Arzucan Ozgur and Junguk Hur and Zuoshuang Xiang and Edison Ong and Dragomir Radev and Yongqun He}
}
