Function Interaction Network Enrichment
Arrowhead | Reaction | Arrowhead | Reaction ------------- | -------- | -------- | ------------ -> | activate, express, regulate | -\| | inhibit diamond -<> | complexe |curve | catalyze, reaction point -o| phosphorylate | -- | binding, input, compound -< | dissociation | .... | predicted, indirect,ubiquitinated
Picks up as few as possible of linkers that can connect input genes together. For example, if the algorithm finds one gene can link all input genes together, it will not try other genes (not from gene list) that may be used as a linker.
The linker gene hes box format.
The dot engine flows the directed graph in the direction of rank (i.e., downstream nodes of the same rank are aligned). By default, the direction is from top to bottom
The twopi engine provides radial layouts. Nodes are placed on concentric circles depending their distance from a given root node.
The neato engine provides spring model layouts. This is a suitable engine if the graph is not too large (less than 100 nodes) and you don't know anything else about it. The neato engine attempts to minimize a global energy function, which is equivalent to statistical multi-dimensional scaling.
The circo engine provide circular layouts. This is suitable for certain diagrams of multiple cyclic structures, such as certain telecommunications networks.
The size of node is related to the number of inetractions. If node has multiple interaction, it will has bigger size than node with few interaction. Otherwise, i will be easier to locate important gene in the network.
Attribute node color using exprsMeanDiff
values from Classifier
panel.
Link study to associated genes from Classifier
table.
User needs to
Select studies (From Which Studies
)
Load profiles data (Load
).
Select Profiles Data
Set threshold from Sliders
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