Sentence examples for explained the data for from inspiring English sources

A two-rate pure-birth model best explained the data for the threshold, ABGD and SP trees (Table  4) with a recent decrease (relative shift time approx. -0.01) of the speciation rate.

On the basis of hierarchical likelihood ratio tests (supplementary table 2, Supplementary Material online), we found that three isochore families best explained the data for each macrochromosome in Anolis, one of which is 39 40% GC, whereas the two others have 49 52% GC.

Consequently, in our experimental evaluations, for any given pair of variables, we choose one model from the set above that best explains the data for those variables.

As in the undirected joint case, we can use both frequentist (likelihood ratio test) and Bayesian (BIC) methods to determine the degree to which each of these models better explains the data for Y than does the single-variable model for Y.

The N4N tree was significantly better at explaining the data for 685 genes, while Lee (2003) Figure  2 was significantly better for 77.

Our species tree was significantly better at explaining the data for 1855 genes, while Figure  2 of Biermann et al. (2003) was significantly better for 10 genes.

Such differential distribution of PTM isoforms (if any) is interesting since it represents another layer of ribosome regulation but cannot explain the data for an RP quantified by dozens of peptides spanning the protein length and indicating highly consistent fold changes across the sucrose gradient; see Figures 1 and S2 and Supplemental Information.

As was previously explained, the data quality for many experiments studying high-cost populations such as infants or special populations to whom access is limited may be consistently low.

The dissipation model (Eq. (1)) explained the data very well for both terbuthylazine and hexazinone (Fig. 3).

The relevant residual variance criterion was used to evaluate whether this model explained the data best and accounted for most of the variance.

The model that optimally explained the data consisted of a single effect for the step factor, b = -0.941, p <.001.