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Background Understanding the genetic networks and their role in chronic diseases (e.g., cancer) is one of the important objectives of biological researchers. In this work, we present a text mining system that constructs a gene-gene-interaction network for the entire human genome and then performs network analysis to identify disease-related genes. We recognize the interacting genes based on their...
Background A large number of computational methods have been proposed for predicting protein functions. The underlying techniques adopted by most of these methods revolve around predicting the functions of an unannotated protein p from already annotated proteins that have similar characteristics as p. Recent Information Extraction methods take advantage of the huge growth of biomedical literature...
With the high penetration of smart phones in our daily life and the increasing capabilities of these smart devices, a new type of applications has emerged. Lately, Opportunistic Mobile Social Networks (OMSN), which allow users to directly update their social networks while moving have seen the day. Typically, users require the Internet to share information on their social network and this produces...
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