v0.1 cell line networks
v0.2 aggregate tissue networks
v0.3 TF enrichement tool
v0.4 single-sample tissue networks
v0.5 CLUEreg tool
v0.6 colon cancer networks
v0.7 drug networks
v0.7.1 API v1
v0.8 liver, cervix, and breast cancer networks v0.9 miRNA tissue networks v0.9.1 bootstrap 5 v1.0 glioblastoma networks v1.0.1 drug combinations v1.1 Cell line networks v1.2 User upload network v1.2.1 Gene targeting table v1.2.2 DRAGON miRNA network v1.3 Network comparison v1.3.1 Guided tours v1.4.0 CCLE multi-omic map v1.5.0 EGRET networks
First upload the file in the first tab. Then, in the second tab, please click on the submit button after selecting the parameters to retrieve the network from the server.
Please click on the submit button in the left panel to load the network from the server. The left panel allows to query and analyze the network using several parameters.
Please click on the submit button in the left panel to compute targeting scores. These scores can be further paramterized using the elements of the left panel. Next, it is possible to export the targeting scores to CLUEreg for drug repurposing or for TF enrichment analysis.
Positive edge weights are colored in green, negative edge weights are colored in red. To export the network, please click on the save button to download a png image.
Targeting refers to a bipartite network metric. For genes, targeting is the weighted indegree. For TFs, it represents the weighted outdegree.
The enrich function submits the selected TFs for enrichment analysis. This feature is available only for TFs but not miRNA nor genes.
The CLUEreg function submits the selected TFs/Genes in CLUEreg, which finds optimal compounds that reverse the TF/Gene profile. High-targeted genes/TFs are those that have a positive z-score and low-targeted genes are those with negative z-score. CLUEreg requires both high-targeted and low-targeted genes/TFs to be nonempty sets.