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It was possible to partition these results into different nodes and functional categories, as described below.
We investigated topologically significant nodes and functional hubs which resulted from the analysis of psoriasis gene expression data in the context of known treatments for this disease.
Gene expression networks can be represented as graphs with TFs and other expression regulators acting as nodes and functional interactions between regulators and between regulators and their targets as directional edges [ 12, 15].
We anticipate that our work provides new insights to the structure of biological functional networks and highlights the aspects that need to be considered in the prediction of regulatory nodes and functional modules from a multilevel and heterogeneous network context.
A purposive sampling strategy based on presence of nodes and functional limitation was used to ensure that a spectrum of severity of hand problems and hand functional limitation would be represented in the study.
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The proposed method relies on nodes combination and functional modeling of curve points situated between the basic set of key points.
To assess the biological relevance of these networks, Gene Ontology (GO) functional annotations were mapped onto the network nodes and the functional affinities of linked genes were explored.
The CORE scheme, proposed in [10], considers the following three different kinds of mechanisms to select which node can use network services: (i) subjective, calculated based on direct observation, (ii) indirect reputation calculated according to information provided by other nodes, and (iii) functional reputation calculated using a specified function.
One solution is to decompose such an interaction network into communities of densely interacting nodes and imply functional modules.
More specifically, it has been proposed that, 'functional specialization is not simply an intrinsic property of individual regions that compute specific representations in isolation, but rather, is an emergent property of the interactions between a set of spatially distributed nodes and their functional and structural connections' (Behrmann and Plaut, 2013, p. 211).
Due to the biological complexity of lymphoid organs, the development of mathematical models capable of elaborating the lymph node architecture and functional organization, has remained a major challenge in computational biology.
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