Undirected scale-free regulatory networks inferred with the RulNet platform.
Jonathan Vincent
Pierre Martre
Benjamin Gouriou
Catherine Ravel
Zhanwu Dai
Jean-Marc Petit
Marie Pailloux
10.1371/journal.pone.0127127.g004
https://plos.figshare.com/articles/figure/_Undirected_scale_free_regulatory_networks_inferred_with_the_RulNet_platform_/1420070
<p>(A) and the GCNA (B) and Pearson (C) methods and consensus network obtained using the intersection algorithm of Cytoscape (D). In A, B, and C node color indicate the conservation between the three methods: green, nodes specific to the network; blue, nodes common with one other network; and red nodes found with all three methods. In D, node color is dependent on node degree, from gray for less connected nodes to red for nodes showing the highest connectivity. To enhance the clarity of the figure, disconnected nodes and connected components involving two nodes or less are not shown.</p>
2015-05-19 03:12:21
rn
sql
omic
Regulatory Network Inference
rule discovery
transcriptional network inference challenge DREAM 5.
RQL query language
sulfur supply
data
RulNet