Sentence examples for characterized networks from inspiring English sources
While this approach is useful for understanding the context specificity in already characterized networks, its utility is limited by the scope of the network as context-specificity is identified only for those interactions known from prior knowledge.
The novelty of this computational framework resides in the decomposition of a complex biological network into dynamically simple but well characterized network motifs, and the ability to integrate disparate biological data to derive these network motifs.
The molecular mechanisms underlying these experimentally characterized network connections are currently unknown.
The first characterized network gene, MAP3179c, was determined to function as a universal stress response gene that when bound to chromosomal DNA, initiates the SOS response.
As another approach to validate PIN, we characterized network performance using a positive reference set (PRS) and a random reference set (RRS) for protein interactions [ 36, 37].
Generally, there are two main directions in quantitative graph analysis: (i) Comparing and (ii) characterizing networks.
A variety of entropy-based measures have been used to characterize networks associated with biological or chemical systems [5], [6]; a recent application in computational biology uses an entropy measure to analyze metabolic networks [7], [8].
Allometry provides fine tools to characterize networks, including mass balance and energy flux, by a direct comparison between differently-sized soil invertebrates with species-specific adult weight averages [8].
Motifs can also be used to characterize networks more globally.
Recently, it has been suggested to use L ¯ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaacuWGmbatgaqeaaaa@2DE5@ instead of C to characterize networks [ 29].
Differentially expressed genes were analyzed using pathway analysis software, which characterizes networks of genes with common regulatory and signaling capacity.
