Sentence examples for fractional preference from inspiring English sources

Each 32 trinucleotides and their reverse complements are associated with a fractional preference for a position facing out of the histone core (Satchwell et al., 1986).

A synthetic version of each gene used in this work was designed as previously described [ 29, 30] where a codon randomization algorithm with the Optimizer software and a codon table containing a fractional preference for each codon equal to that found in the genome of E. coli W3110 was used.

Here, we employed a trinucleotide model which gives the fractional preference of all trinucleotides for a position where its minor groove is facing away from the nucleosome, to investigate intrinsic nucleosome positioning preference along promoter sequences (Fig. S9) (Satchwell et al., 1986).

Anomalous diffusive spreading behaviors are often modeled with continuous-time random walks or fractional Brownian motion, while spatial directional preference is the key attribute of correlated random walks.

This paper develops an efficient algorithm to solve a mathematical programming problem with a linear fractional objective function that models changing DM preferences and linear constraints.

We were able to characterize in detail, MNase preferences for naked DNA, extending fractional information derived from small-scale experiments.

His preference is to sell it as a fractional, he said.

(2014) presented a technique for order preference by similarity to ideal solution (TOPSIS) algorithm to linear fractional bi-level multi-objective decision-making problem in 2014.

The objective of this paper is to present a technique for order preference by similarity to ideal solution (TOPSIS) algorithm to linear fractional bi-level multi-objective decision-making problem.

The diffusion measurements can be used to calculate the fractional anisotropy (FA), 8 a metric that reflects the degree of directional preference in water diffusion.

Only one study reported using interaction terms within its fractional factorial design so as to be able to identify the modification of the preference for one attribute based on the level of another [ 6], with the vast majority (88.9%, 24/27) assessed as including main effects only (the primary effect of each attribute).