Sentence examples for more recent network from inspiring English sources

Given the centrality of tenor to semantic variation, I will organise this discussion drawing on Hasan's more recent network for tenor, in which she proposes that tenor (or 'interactant relations' as she later called this parameter) involves three simultaneous, systems - textual relation, agentive relation, social relation (Hasan, 2014).

Using a more recent network of GI and PI edges from the BioGRID [17] (as of October 2007), we find 50.6% of 3020 pathways exhibiting GO enrichment, as compared to Ulitsky and Shamir, who find less than 36% of their smaller number of pathways enriched, on a similar but slightly older network (see Table 1).

Given, however, that translation is a highly conserved and ancient process [ 35], it is more likely that protein functions would originate within the translation network and be exapted to another more recent network rather than the other way around.

Interestingly, the fractional improvement of IsoRank with PISwap decreased substantially, from an average of 35% in the more recent network pairs to 19% in the less recent network pairs.

More recent network approaches overcome this problem by examining differential canonical correlation between multiple states, such as healthy and diseased, or with a reference [ 11]; these approaches, however, may rely on methods that are not robust to non-normal data to find correlated genes.

Additionally, these results should apply to more recent networks architectures, such as the inception model [27], as the use of padding enables arbitrarily deep networks to be constructed from any input layer size.

We aimed to analyse and compare commonly employed single-gene and gene-set methods for prognostic classification alongside the more recent network-based approaches involving integration of PPI networks with gene expression information [ 8, 11].

More recent neural network models such as back-propagation [8], [9] and basis function networks [10], [11] are simply non-linear extensions of the originally proposed models in the sense that they implement a mapping from stimulus to motor response by adapting (synaptic) weights in networks with fixed topology.

Commonly applied methods include principal component analysis (PCA), various forms of cluster analysis (CA), and discriminant analysis (DA, both linear and quadratic), followed by more recent (neural network and fuzzy) methods [17], although the application of combined techniques has been reported in the literature [28].

To assess this, we randomly selected 100 participants from each of the ARIC communities and regeocoded their residential addresses using the GDT software, which incorporates a more recent road network database.

These were identity-based and path-dependent networks established prior to incubation or more recent calculative networks that they had actively sought.