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Knowledge represented as a pathway is especially suited for integration with other biological data, since it typically covers multiple levels of the biological information hierarchy.
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Canonical pathways were represented as a histogram of pathway vs. -log p-value).
We used this method to examine the relationships among pathways and biological processes for a set of condition-specific genes/proteins, represented as a functional biological pathway-process network.
Since a pathway is represented as a network with nodes and edges, its topology is essential for evaluating the importance of the pathway.
Traditionally, the metabolism of a cell has been represented as a network of interlinked pathways [ 12].
Through KEGG [ 19], a list of genes can be submitted as a query returning metabolic pathways represented as a network.
The pathway is represented as a set of logic gates, the basic elements of digital circuits.
In order to include new pathway data, the imported pathways have been represented as a set of biochemical reactions, which, due to the highly general nature of our model, implies a simplification for the majority of relevant datasets.
Perhaps the most mature computational system for biological representation is Pathway Tools (12, 13), a software framework in which genome-scale knowledge of metabolic pathways is represented as a semantically related collection of knowledge frames (14).
Pathways are represented as a collection of functional classes (enzymes) and a set of corresponding chemical reactions.
Enriched functional annotations and pathways are represented as a heatmap of the Bonferroni-adjusted p-values with a cut-off of 0.05.
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