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Luz Garcia, 03/15/2011 11:12 am

Home >> Functional profiling documentation

SNOW output

The results of SNOW can be divided into three main parts, two for each of the types of analysis explained before and a third one that provides a visualization and functional information about the MCN:

Statistical evaluation of the role of the list within the interactome

Boxplots of list distributions for the genes/proteins parameters mapped into the interactome versus whole parameters distributions in the interactome. P-value for the Kolmogorov-Smirnov test.

Statistical evaluation of the MCN

Boxplots of list and random distributions for the MCNs generated from lists. P-value for the Kolmogorov-Smirnov test.

Visualization and functional information about the MCN

SNOW also provides an interactive visualization of the MCN (figure 9.5) from where users may explore the nodes and edges in the network as well as getting functional and network information of the MCN elements. A not less important part of the results is the functional information provided by means of GO terms and description of the elements of the MCN divided into components, bicomponents, listed and non-listed nodes. Moreover, the shortest paths and the articulation points in the MCN are reported. This information will guide the user to identify the important nodes within, or even outside, the list as well as evaluate the modular functionality of the list as an entity.