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A 'random walk' analysis (Fig. 4) and a fractal analysis (Fig. 5) indicate that the trajectories of fruit flies are well represented by scale-free Lévy-flights.
Similarly, Köhler et al. (2008) developed GeneWanderer, a method for prioritizing candidate genes by the use of the random walk analysis that defined similarities in protein-protein interactions (PPI) networks [3].
MJS performed random walk analysis.
Similarly, the relaxed random walk analysis indicated more frequent and extensive movement in the Southeast than the Northeast (Fig. 6).
Random walk analysis has been shown to outperform many existing local network-based gene prioritization algorithms [ 9, 10].
Köhler et al. [ 17] propose a random walk with restart (RWR) algorithm to detect disease genes by using a global network distance measure and random walk analysis.
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GenomeWalker™ DNA walking analysis indicated that there may be one copy of CfEG5 and two copies of CfEG3a in the termite genome.
Genome walking analysis was performed with the GenomeWalker Universal kit (BD Biosciences Clontech) according to the user's manual.
A relaxed random-walk analysis was also employed to reconstruct the spatiotemporal pattern of movements.
In this work, we test the hypothesis that random-walk analysis of the protein interactome can improve prioritization of candidate disease genes in exome sequencing studies.
Random-walk analysis of protein protein interaction data has been shown to be a powerful approach to gene prioritization in the setting of positional cloning projects (Köhler et al., 2008; Navlakha and Kingsford, 2010).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com