This data complexity refers to the extent to which a dataset is intrinsically structured such that classes of treated and control samples can be separated into distinct groups as defined by gene features (i.e. a geometric boundary can be established computationally between classes in a multi-dimensional space).
This ship has been widely investigated in the context of different research projects and a large amount of data (both measurements and numerical calculations) is available to validate the solution approach and to highlight the benefits, as well as the weaknesses, of the proposed coupled BEM/RANS approach versus established but computationally demanding calculations based only on RANS simulations.
In 2007, in an effort to support more computationally demanding applications, SBGrid established a Virtual Organization within the Open Science Grid.
The proposed work aims to establish computationally efficient approaches that are capable of analyzing the transient dynamics of bi-stable MEMS devices, such as shallow arches, to mechanical shock and electric loadings.
In order to engineer this class of materials and to predictably simulate its behaviour, a computationally efficient constitutive model is established in this paper.
It has been established experimentally and computationally that the leader-proximal end of spacers are more diversified and the leader-distal end of spacers are more conserved among strains [20], [41].
The most well established methods for computationally predicting RNA structures focus on calculating the secondary structure partition function for an RNA sequence.
Apart from its simplicity and rigorous statistical interpretation, the main advantage of our tool is that it can be applied to large models, for which other, well established, approaches are computationally infeasible.
While accounting for phylogenetic uncertainty is important in many studies, the relationships of the 30 taxa used here are mostly well established, and it is computationally prohibitive to repeat some analyses in this study using a distribution of trees.
Recently, Kwon et al. (Kwon et al. 2010) established the cell-free expression of computationally predicted putative ω-TAs, which circumvents cloning and expression procedures.
