level.plot
(Package: netbiov) :
Exploratory visualization of information spread of biological networks
Generates a level plot by selecting a set of nodes at the initial level '0'. Outgoing nodes are plotted on higher levels than level '0', and the incoming nodes are plotted on lower levels. This process is repeated for the nodes at each new level until all nodes are plotted. For this function, the graph can be plotted at each step, like a sequence, by using the 'plotstep' option. Edge colors show a connection between different levels. If the level difference is one, than the edgecolor is "grey" (default). For a level difference of zero, the default edge color is "brown". For level differences greater than one (upward edges), the edgecolor is "blue". If the level difference is less than zero (downward edges) the edgecolor is "red". The level plot function helps to see the information spread in a network, starting from a set of nodes (initial_nodes).
● Data Source:
BioConductor
● Keywords:
● Alias: level.plot
●
10 images
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Large complex networks can be plotted using the fruchterman-reingold algorithm or the Kamada-kawai algorithm or any given input function on minimum spanning tree of each network. The edges of the minimum spanning tree (MST) are shown in black color, the rest of the edges are shown in a different colors which are a function of distances between the coordinates of the nodes.
● Data Source:
BioConductor
● Keywords:
● Alias: mst.plot
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6 images
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Global layout style:
● Data Source:
BioConductor
● Keywords:
● Alias: mst.plot.mod
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8 images
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Global layout style:
● Data Source:
BioConductor
● Keywords:
● Alias: plot.NetworkSperical
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2 images
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Global layout style:
● Data Source:
BioConductor
● Keywords:
● Alias: plot.NetworkSperical.startSet
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1 images
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Visualization of graphs in a modular form. In this plot, connecting edges between modules are replaced by a single edge and its width is propotional to the number of connections between modules.
● Data Source:
BioConductor
● Keywords:
● Alias: plot.abstract.module
●
7 images
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plot.abstract.nodes
(Package: netbiov) :
Exploratory visualization of information spread of biological networks
Modular layout style:
● Data Source:
BioConductor
● Keywords:
● Alias: plot.abstract.nodes
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1 images
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Modular layout style:
● Data Source:
BioConductor
● Keywords:
● Alias: plot.modules
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8 images
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Plots netbiov object
● Data Source:
BioConductor
● Keywords:
● Alias: plot.netbiov, tkplot.netbiov
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2 images
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Plots a graph in a spirical fashion, highly connected nodes are placed at center.
● Data Source:
BioConductor
● Keywords:
● Alias: plot.spiral.graph
●
2 images
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providing 
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