… We also plan to add microRNA-gene silencing relations and new network analysis tools.
BisoGenet network visualization and analysis tool is freely available as a CytoScape plugin at …

… A major goal of the analysis was to relate intramodular gene connectivity to prognostic … To
define prognostic gene significance, we regressed patient survival on individual gene expres…

… -gene and network-based approaches, we only look at genes with at least one interaction.
To reduce the number of false positives, we select for multiple testing only the genes that …

… genes potentially associated with leaf senescence, the Leaf Senescence Database (LSD).
In this study, we built gene networks … promoting or delaying senescence genes in LSD. Our …

… Conversely, microarray data analysis techniques (… in network theory. We describe conditions
when a close relationship exists between network analysis and microarray data analysis …

… genes. In this study, the authors use a gene network–based approach for integrating
clinical traits, genetic marker data, and gene expression data. Instead of focusing on individual …

… network analysis framework called Multiscale Embedded Gene Co-expression Network
Analysis (… We developed a novel co-expression network analysis framework named Multiscale …

… pathway of the genes and proteins has … for gene and protein-protein interaction (PPI) network
analysis but also to extract useful and meaningful information from the interaction networks. …

… analysis of prognostic genes in terms of key network properties (for example, whether they
tend to be hub genes … distinct patterns of prognostic genes and identify modules associated …

… : single-network analysis and differential network analysis. Single-network analysis reveals
… of WGCNA, differential network analysis, which may be useful in identifying gene pathways …