Sentence examples for more stochastic in from inspiring English sources

It also possible, however, that gene expression is intrinsically more stochastic in the FG fibers than in other fiber types.

In contrast, both the older and younger social science cases (SS77 and SS98) appear more stochastic in their histories of individual word frequencies (Figure 3 b, d), and with each at a relatively low frequency compared to the network science case (Figure 3 a, c).

As a result, their choice appeared more stochastic in regard to the value difference.

One possible explanation for the difference we observe is that the teleosts and and yeast WGDs represent autopolyploidies, and, in the absence of genome dominance differentiated between two parental subgenomes, the early fractionation of gene pairs was more stochastic in these lineages, resulting in greater numbers of RGL events.

Consistent with the above analysis, the group II and III genes were of markedly greater proportions among the total tetraploid parental dominance expression genes than those of the diploid, suggesting that allopolyploidy-regulated gene expression is more stochastic in the transcriptome contributed by the diploid parent than in that by the tetraploid parent.

Phenotypic flexibility, the reversible within-individual variation, is a function of environmental conditions varying predictably (e.g. with season), or of more stochastic fluctuations in the environment.

In the present study, wavelet transform is suggested for analysis of geomagnetic data because such methods allow detection of several interesting deterministic and more stochastic features in the time series of solar activity indicators (Lundstedt et al. [2005]).

As shown in a recent study [31], embryos at nuclear cycle 14, unlike those at earlier stages, exhibit a more stochastic pattern in Bcd target gene transcription, a feature that makes this stage particularly useful for investigating the sustained role of Bcd in transcriptional decisions.

For the large (L = 500) scenario, evolution for the large population becomes markedly more stochastic (see CV in Table 2), leading to a broader exploration of the fitness landscape.

Interestingly, the heatmaps of the prospective and pre-invasive cancer series also revealed the existence of a striking bi-modality within the cases only, with a small subset of cases exhibiting a highly correlated pattern of CpG methylation, in contrast to the more stochastic pattern of methylation seen in the majority of samples.

We further showed that for a rather smooth fitness landscape, there is no advantage in following more stochastic adaptive trajectories; however, even an intermediate amount of ruggedness can be sufficient to occasionally favor more stochastically evolving populations of smaller size.