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Representing each bio-sample using its pathway metrics allows us to look for patterns in the collection of pathways.
This is notable, as the predominantly-off gene class was also enriched for this collection of pathways, as seen in previous section.
Some genes (68 genes; Table 2) in the "Neuroactive ligand-receptor interaction" collection of pathways are thus regulated to be in predominantly-off state while a larger number of genes (125 genes; Table 3) in this pathway group are controlled in a more graded manner.
Finally, the result was a collection of pathways.
A collection of pathways were generated from the second simulation.
Next, we tested the MSGR on a large collection of pathways from the GenMAPP database [ 12].
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GSEA compares this ranked list of genes to a large collection of pathway data gene sets and assigns an enrichment score.
As we obtain pathway activity and consistency scores for each pathway, we are able to transform the representation of each bio-sample from a list of gene expression measurements into a novel representation, displaying each sample with the collection of pathway activity and consistency scores.
It is part of the BioCyc collection of pathway databases created at SRI International (6).
The literature provides a large collection of pathway definition sources (1).
The potential pathways are further verified using transcriptional units provided by the BioCyc Collection of Pathway and Genome Databases.
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