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Our results suggest that the approach is suitable for focusing on size-limited problems, such as recovering a small subnetwork of interest by performing perturbation over selected genes.
Initially we use the model to infer the temporal pattern of TF protein activity given a small subnetwork of mostly known structure.
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Network motifs are recurring small subnetworks composed of a few nodes and their edges, and the topology types of these subnetworks appear in biological networks much more frequently than expected by chance [ 8].
Then four different small subnetworks, consisting of genes, reactions and metabolites, were generated corresponding to different tissues.
Firstly, as an example of a small subnetwork, we selected proteins involved in Fanconi DNA repair pathway [ 34] as it is defined in Atlas of Cancer Signaling Network [ 8, 9].
This indicates that a node with a small number of links has a high C and belongs to a small subnetwork in which all nodes are densely connected, while a hub has a low C and links different subnetworks.
To simplify the estimation process, we first conceptually divided a network of n nodes (components) into n numbers of smaller subnetworks, each of which consists of a node i and its potential regulators.
Shmulevich et al [ 48] constructed a probabilistic model of a small autonomous subnetwork of genes based on human glioma gene expression data [ 49] obtained for 588 known genes, in tissue samples with differing levels of glioma severity.
Based on these intuitions, we set the restart probability λ as the ratio of the total number of nodes in the top K% smallest subnetworks to the total number of nodes in the reduced product graph.
We conceptually divide a n node network into n number of smaller subnetworks, each of which corresponds to the interactions between a specific node (i) and its regulators, whose interactions with nodes other than i are not considered.
Devloo et al. studied a method by transformation to a constraint satisfaction problem [ 4], while Irons proposed another method based on the use of small subnetworks [ 6].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com