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We further show that it is the interplay between variable transcriptional activation signals and the repressive influence of the NuRD complex that results in transcriptional heterogeneity at pluripotency-associated genes in ESC cultures.
In this paper, we attempt a synthesis of some of the major features of Pacific salmon evolution, with particular emphasis on the interplay between variable environments and the evolutionary responses by salmon populations.
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We used a conditional inference tree analysis to better understand the interplay between variables and outcome.
Strengths of our analysis include the use of robust statistical analysis that takes into account the complex interplay between variables.
The results of MARS analysis include an intercept value, hinge function and products of two or more hinge functions to account for the interplay between variables.
We infer from our modeling that there is not a specific characteristic pattern of topography changes associated with delamination, but it depends on the interplay between highly variable factors, as slab sinking velocity, asthenospheric upwelling and changes in crustal thickness.
Together these data indicate that the LIF/Stat3-mediated transcriptional activation of pluripotency genes varies from cell to cell within self-renewing ESC cultures, and that the interplay between this variable activation signal and the NuRD-mediated repressive effect produces transcriptional heterogeneity observed in ESCs cultured in serum and LIF conditions.
It can be argued that the relationship of these variables is not well understood (Devlin 2006) and that the interplay between the variables of professional growth are more complex than a linear model might suggest.
Mathematical models are powerful tools in epidemiology: they can facilitate understanding of the interplay between the variables that determine the course of infection within an individual and the variables that control the pattern of infections within communities of people.
The paper draws together recent literature demonstrating the complex interplay between these variables, and highlights the many etiological pathways.
To study the interplay between these variables, a scaling analysis was performed to identify the relevant dimensionless similarity parameters governing Li+ transport and intercalation in the pseudocapacitive electrode.
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