The utility of local network-based measures has been shown in [ 36, 37].
Our approach has identified a unique genetic network in PA which may account for the novel phenotype of this brain tumor, and also demonstrates the general utility of using network-based approaches to analyze complex molecular profiling data from other tumor types.
Using four different networks as examples, we supported our hypothesis on the utility of network-based classifiers for learning regulatory structure via the effectiveness of the proposed TL-BSLA to infer reasonable regulatory networks for a variety of different underlying topologies.
Previous work has shown the utility of network-based gene expression data analysis in identifying disease signatures (Chuang et al, 2007; Cline et al, 2007; Pujana et al, 2007; Ideker and Sharan, 2008; Taylor et al, 2009; Nibbe et al, 2010).
Missing edges or nodes in a social network will reduce the utility of the network.
The utility of the warning algorithm, and the power of network-based predictive metrics, are demonstrated through an empirical investigation of the propagation of political "memes" over social media networks.
The utility of the warning algorithm, and the power of network-based predictive metrics, are demonstrated through empirical case studies involving meme propagation, large-scale protests events, and politically-motivated cyber attacks.
They confirmed the utility of the RECIST-based response metrics.
The utility of Bayesian-based network analyses to determine predictive gene regulatory network structures has been demonstrated in in vitro and invertebrate models [ 5- 7], but few attempts have been made using datasets derived from mammalian species due to the dependence of these techniques on a relatively large sample size [ 8].
The following review focuses on recent developments in abiotic stress transcriptional networks in economically important crops and will highlight the utility of correlation-based network analysis and applications.
