Sentence examples for based on topological feature from inspiring English sources
Thus, the generation of a core network for physiological cardiac hypertrophy reduces the initial number of genes to just over a thousand and consequently allows the further study of a more compact dataset, based on topological feature detection.
By introducing an image representation based on topological features, the task of segmentation is less dependent on variations of color or texture.
In this study, we propose a novel botnet detection methodology based on topological features of nodes within a graph: in degree, out degree, in degree weight, out degree weight, clustering coefficient, node betweenness, and eigenvector centrality.
Additional latent nodes were identified based on topological features of the ensemble network.
This laid the foundation in which computation methods based on topological features are developed to better detect essential proteins [ 7– 11].
The algorithm VAVIEN [ 17] was also developed to prioritize disease genes based on topological features of PPINs.
A great deal of research has focused on computational methods used to identify clusters/sub-networks based on topological features [ 12- 14].
Many network analysis algorithms filter or partition networks based on topological features, optionally weighted by orthogonal node or edge data (Bader and Hogue, 2003; Royer et al., 2008).
The measures considered in this work are based on topological features, which are described in the confusion matrix showed in Table 4.
All of these machine learning based methods are implemented by using WEKA software package with default parameters setting and carried out 10-fold cross-validation based on topological features and biological features mentioned in section Method.
Central to this is that while functional modules are commonly defined as groups of proteins that work together to accomplish a BP, there is no widely accepted formal definition of a module; many have been proposed, though typically based on topological features of the network (e.g. Radicchi et al., 2004).
