<p>(<b>A</b>) Unweighted network showing the connectivity (TOM > 0.1) between the 46 hub genes identified in the LTDL, PB, TOOL, and LT meta-modules and 20 extended hub genes (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0118731#pone.0118731.s012" target="_blank">S7 Table</a>). Nodes are visualized as circles and correlations between nodes as lines (edges). Node size is proportional to degree of unweighted connectivity; the colors of the nodes correspond to modular assignments. The inner circle represents the disease response-related meta-module hub connectivity. The outer circle represents the extended hub genes found to have TOM > 0.1 connections with > 75% of the original hubs. (<b>B</b>) Gene Ontology-annotated ...
<p>(A) Scatter plot of betweenness centrality versus degree for nodes obtained in the transcriptiona...
<p>(A) Scatter plot of betweenness centrality versus degree for nodes obtained in the transcriptiona...
Abstract Background The advent of big data in biology offers opportunities while poses challenges to...
<div><p>Intricate signal networks and transcriptional regulators translate the recognition of pathog...
Intricate signal networks and transcriptional regulators translate the recognition of pathogens into...
Intricate signal networks and transcriptional regulators translate the recognition of pathogens into...
Intricate signal networks and transcriptional regulators translate the recognition of patho-gens int...
<p>A) Highly connected genes in the brown module. B) Highly connected genes in the turquoise module....
<p>A) Interactome showing hub genes and connectivities among hubs of selected pluripotency, cell cyc...
Dietz K-J, Jacquot J-P, Harris G. Hubs and bottlenecks in plant molecular signalling networks. New P...
<p>The distribution of expression of the 74 hubs and of the 362 non hubs is plotted in blue and oran...
<p>Network visualization of all genes comprising ErGeN3 that share at least one adjacent edge at a c...
Highly connected nodes (hubs) in biological networks are topologically important to the structure of...
In this study, we established a computational framework of comparative network analysis to identify ...
Highly connected nodes (hubs) in biological networks are topologically important to the structure of...
<p>(A) Scatter plot of betweenness centrality versus degree for nodes obtained in the transcriptiona...
<p>(A) Scatter plot of betweenness centrality versus degree for nodes obtained in the transcriptiona...
Abstract Background The advent of big data in biology offers opportunities while poses challenges to...
<div><p>Intricate signal networks and transcriptional regulators translate the recognition of pathog...
Intricate signal networks and transcriptional regulators translate the recognition of pathogens into...
Intricate signal networks and transcriptional regulators translate the recognition of pathogens into...
Intricate signal networks and transcriptional regulators translate the recognition of patho-gens int...
<p>A) Highly connected genes in the brown module. B) Highly connected genes in the turquoise module....
<p>A) Interactome showing hub genes and connectivities among hubs of selected pluripotency, cell cyc...
Dietz K-J, Jacquot J-P, Harris G. Hubs and bottlenecks in plant molecular signalling networks. New P...
<p>The distribution of expression of the 74 hubs and of the 362 non hubs is plotted in blue and oran...
<p>Network visualization of all genes comprising ErGeN3 that share at least one adjacent edge at a c...
Highly connected nodes (hubs) in biological networks are topologically important to the structure of...
In this study, we established a computational framework of comparative network analysis to identify ...
Highly connected nodes (hubs) in biological networks are topologically important to the structure of...
<p>(A) Scatter plot of betweenness centrality versus degree for nodes obtained in the transcriptiona...
<p>(A) Scatter plot of betweenness centrality versus degree for nodes obtained in the transcriptiona...
Abstract Background The advent of big data in biology offers opportunities while poses challenges to...