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Hsu et al. [ 32] proposed a parameter-free interconnectedness method to rank disease candidates by evaluating their distance to known disease genes in a network.
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The InterConnectedNess-based method (ICN) is a biologically intuitive and parameter-free approach for prioritizing candidate disease genes.
Consequently, we designed the InterConnectedNess-based method, ICN, to measure the closeness between genes by considering alternative paths, in addition to the shortest one, that could connect candidate genes to known disease genes.
We compare our approach with a state-of-art parameter-based approach (PageRank with Priors or PRP) and with another parameter-free method (Interconnectedness or ICN).
We developed a parameter-free method, interconnectedness (ICN), to rank candidate genes by assessing the closeness of them to known disease genes in a network.
The parameter-free methods (e.g. Interconnectedness or ICN [ 29]), on the other hand, measure closeness of each candidate gene to known disease genes by taking into account direct link and the shared neighbors between two genes and tend to be less intensive computationally.
The method proposed is showing the interconnectedness of variables and is realized as user-friendly web page allowing for dynamic data exploration.
FAN: functional association network; ICN: interconnectedness; OMIM: Online Mendelian Inheritance in Man; RW: random work method; PIN: protein-protein interaction network; PR: PRINCE algorithm.
To compare the performance of our VS-based approach in candidate disease gene ranking, we select two methods, one each from parameter-based and parameter-free methods: PageRank with priors (PRP) [ 28] and Interconnectedness (ICN) [ 29].
It is therefore appropriate that these two countries came together to consider the interconnectedness of the world's marine ecosystems, and the interdependence of methods used to study and manage these environments.
It is Eleni's inspired method of turning land into art that evokes the feelings of interconnectedness between persons, cultures and creatures of this world.
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