The method is based on the knowledge of the tolerances on the geometrical features of the construction.
This fits well with the asymmetries we have noted between analysis and construction, with analysis aimed at the discovery of the constituents and structure of propositions which are given to us, and construction which is more a matter of choice, with the goal being the recovery of particular "neat" features of the construction in a formal theory.
Feature selection (Saeys et al. 2007), also known as variable selection or attribute selection in machine learning, is the selection of a subset of redundancy features for the construction of a prediction model.
Since communication is a fundamental feature of life, the construction of artificial cells capable of chemical communication will likely lead to a deeper understanding of biology and allow for the development of life-like technologies.
In a relatively short period of time, impressive progress has been made in using halogen bonding as a design feature for the construction of supramolecular systems such as anion receptors and transporters, chemical sensors, molecular capsules, and mechanically interlocked molecules.
The distinguishing feature of this construction method is that the properties of a design can easily be obtained from the sets of shifts instead of constructing the actual blocks of the design.
The capability of microorganisms to degrade tannins has been featured to the construction of tannase, an important enzyme able of catalyzing gallotannins to gallic acid and glucose (Ilori et al. 2007; Beniwal et al. 2013).
In summary, a promising example of integration of numerical and experimental knowledge is presented, enabling monitoring systems to cover not only global features of the constructions, but also local relevant parameters.
Only the DEGs with s ≥ 1 were kept as features for the construction of the predictive models.
