Sentence examples for compositional classes from inspiring English sources

These different compositional classes showed a good correspondence with coding and non-coding regions, horizontal gene transfer, hydrophobic protein coding regions and highly expressed genes.

In their study of the Bacillus subtilis chromosome, Nicolas et al. identified different compositional classes using a hidden Markov model [ 14].

Knight et al. [13] modeled codon and amino acid usage as a function of GC mutational bias in bacteria, prokaryotes and eukaryotes showing that GC content drives codon and amino acid usage and provide a model of usage by compositional class, but did not directly address codon bias.

We derive three distinct order 1 Markov chain models from sequence regions that belong to the same compositional class.

The inclusion of a SWAP step in our Bayesian MCMC algorithm, as well as of features spanning different classes (compositional, motifs, structural, thermodynamic) in our analysis should solve overlap issues though, minimising any masking of significant features by less influential ones.

Grouping compositional components by class, however, has the disadvantage of making the often-false assumption that all species within the class are equally toxic per unit of mass or that the proportions among the grouped compounds are similar.

To better understand potential expression levels of genes, we developed a methodology that relates codon usage as well as large-scale DNA compositional biases among gene classes to the expression potential of individual genes.

While the universal approximation property holds both for hierarchical and shallow networks, deep networks can approximate the class of compositional functions as well as shallow networks but with exponentially lower number of training parameters and sample complexity.

While the universal approximation property holds both for hierarchical and shallow networks, we prove that deep (hierarchical) networks can approximate the class of compositional functions with the same accuracy as shallow networks but with exponentially lower number of training parameters as well as VC-dimension.

Subject to the mild reservation in the next paragraph, Tarski's definition of satisfaction is compositional, meaning that the class of assignments which satisfy a compound formula F is determined solely by (1) the syntactic rule used to construct F from its immediate constituents and (2) the classes of assignments that satisfy these immediate constituents.

To alleviate this, we performed the PLS analysis after grouping most of the individual compositional variables by chemical class (e.g., hopanes) or subclass (e.g., two-ring PAHs).