Sentence examples for model where sites from inspiring English sources

The RMSD matrix is derived from a model where sites are not independent (i.e., positions in the chronologies are weighted averages using proteins often also present in adjacent positions) and with unequal variances across chronologies (early and late chronology positions are weighted averages generated from fewer proteins, and therefore show greater variance).

The first of each pair of models compared is a simple model where sites are predicted to be associated with K A /K S ratios between 0 and 1.

The above result allows us to define a stochastic evolution process with independent sites that reproduces the site-specific distributions obtained through the SCN model where sites are interacting.

The least cost-effective TB treatment was the PWP model, where sites achieved relatively higher successful treatment success and cure rates, but the average costs per patient treated were the highest.

We found 123 genes (after filtering, see Materials and Methods) whose sequence evolution fit a model of codon evolution in which a detectable fraction of sites has been under positive selection (M8) better than it fit a model where sites evolve neutrally (M7) (File S1).

Bruno [ 14, 15] proposed a model where site-specific amino acid frequencies were estimated by maximum likelihood (ML).

We measured preference for the S tree over the B tree by difference in log-likelihood score under the WAG model; this model was chosen as it was one of the models where site sampling caused a change in the prefered tree (table 1).

As advocated in [ 27], robustness to the exact model specification was assessed by comparing sites retrieved by M8 with those retrieved by M2a, a simpler model where all sites evolving under purifying selection belong to a single category.

In other words, assuming a model where nonsynonymous sites are affected by week purifying selection, a substantial fraction of the genes has high ω values, potentially being marked as genes under positive selection.

Further, even under a stabilizing selection model, where binding sites for a given transcription factor are gained and lost over evolution [ 33], ΔS will be zero on average if the total output of the regulatory sequence is preserved: the negative ΔS associated with the binding site loss will be compensated by positive ΔS associated with the binding site gain.

In 2007 the CGN decided that there was the potential to improve the efficiency and cost of the network's activities by moving to a centralized model, where the sites were no longer responsible for storing the medical and contact data.