… In contrast to a purely frequency based approach to identifying driver mutations in cancer,
we propose an automated network-based approach for identifying candidate oncogenic …

… -analysis that would otherwise require separate highly filtered meta-analyses. These new
analysis tools demonstrate how network analysis … Several new meta-analysis network analysis …

… of the network properties in a given network should be conducted. Therefore, the next
step of EEG analysis in this study following the construction of network representation is to …

… networks, producing not only directed links, but links whose semantic nature is retained
and understood. Much of the following analysis … employed to automate the analysis of news …

… , automated sensing and social network analysis is uncovering previously hidden phenomena.
(a) RFID feeders track the diffusion of novel foraging techniques across social networks …

… and analysis. Moreover, automated model generation raises issues that provide additional
insight into the nature of MTC. We present a method for the automated generation of …

… In this manuscript we use diffusion tractography to construct structural networks for a cohort
of patients with neonatal encephalopathy. We systematically map these networks to a high-…

Cytoscape is one of the most successful network biology analysis and visualization tools,
but because of its interactive nature, its role in creating reproducible, scalable, and novel …

… of drawing networks, also implemented in statistical software for network meta-analysis, is a
… We use methods from graph theory in order to generate network plots in an automated way. …

… network analysis as a key tool for this type of intelligence analysis, with emphasis on the
automated … and the attributes of their relationships in the network by using data and text mining …