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Therefore, we decided to use the rat functional linkage network predicted by the STRING system [18].
At the heart of the methodology are the concept of Linked Processes and the resultant network of biological processes, the Process Linkage Network (PLN).
Given an intracellular interaction network for an organism and Gene Ontology annotations for the genes in those networks, Dotan-Cohen et al. compute what they term a Biological Process Linkage Network (BPLN).
We propose a novel approach called "Contextual Biological Process Linkage Network" (CBPLN) that focuses on computing which processes in the cell are perturbed in a particular context and how these processes are linked to each other.
At the heart of the methodology described in the paper are the concept of Linked Processes and the resultant new network of biological processes, the Process Linkage Network (PLN), whose nodes correspond to biological process terms in the Gene Ontology (GO) database.
The underlying functional linkage network is shown in Figure 4.
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To this end, we developed a novel approach to compute Contextual Biological Process Linkage Networks (CBPLNs).
The GCNs here are gene function linkage networks [11], [12], [40], [41].
Finally, there are a considerable number of processes for which the links to other processes vary with the underlying input graph, indicating that the different linkage networks provide non-redundant information.
The functional linkage network-based candidate gene sets were derived from two resources: (i) HumanNet, a probabilistic functional gene network of Homo sapiens [ 33] and (ii) functional protein interaction network built upon expert-curated pathways [ 32].
Thus, it would be interesting to use functional linkage networks to discover robust and reliable disrupted pathways across cancers.
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