Sentence examples for transformation a set from inspiring English sources

In general, through orthogonal transformation, a set of observations of possibly correlated variables can be converted into a set of values of linearly uncorrelated variables.

By a judicious choice of the residue (natural or unnatural), the reaction conditions, and the chemical transformation, a set of pure glycoproteins with different epitopes and linkers can be prepared.

To examine whether observed junctions might be linked to the transformation process, we reasoned that if the observed dif-ferences were of biological origin (e.g. driven by the transformation), a set of genes involved in cell cycle regulation would be among the affected loci.

To facilitate this information transformation, a set of prediction rules is described as follows: If the characteristic ion with a neutral loss of 80 Da can be detected, this indicates that the sulfate group is attached to an sp carbon, the sulfated product is therefore produced by the sulfation of a phenol or an enol.

An evaluation of two alignment approaches is presented: using a linear affine transformation and a set of piecewise linear affine transformations.

The use of such orthogonal data is a distinctive feature, and differentiates this ranking method from other methods that rely on information contained in the databases used to develop the transformation rules (e.g., frequency of a particular transformation among a set of reactions within a database).

I am spectating at the rebirth of a work of art, its transformation from a set of carefully packaged objects into a spooky scenario of sex, death and despair.

Transformation requires a set of supporting technologies such as XSLT.

The governing boundary layer equations for momentum, thermal energy and concentration are reduced using a similarity transformation to a set of coupled ordinary differential equations.

We define and formalize the transformation of a set of basic functional requirements into a set of instantiations of software constructs.

This mathematical procedure is based on orthogonal transformation from a set of correlated variables into a set of uncorrelated variables, the last ones called principal components.