Sentence examples for model of de from inspiring English sources

Exact(23)

It follows that the structure of blood clots provides an ideal model of de novo repair material design.

Here we provide a statistical framework for the analysis of excesses in de novo mutation per gene and gene set by calibrating a model of de novo mutation.

The results were interpreted based on the model of de Levie and a critical comparison with previous interpretations reported in the literature for similar systems is presented.

The elastic contribution is obtained by a modification of the Flory Rehner approach proposed previously, where the affine deformation assumption is abandoned and instead the assumptions of the c* model of de Gennes are adopted.

The extended flame stretch model of de Goey and ten Thije Boonkkamp [Combust. Flame 119 (1999) 253 271], which was derived for multiple-species transport and chemistry, is used as a starting point.

Inspired by the holographic principle [42, 43], a new model of DE, dubbed as Holographic DE (HDE), has been recently proposed and studied.

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Similar(37)

In a mouse model of de- and remyelination, TFEB expression is increased in oligodendrocytes, but the protein is localized to the cytoplasm, and hence inactive, especially during remyelination.

In summary, our rtTA/MIC model of de-induction appears to be a valuable system for investigating clinical treatment and relapse.

Classic models of de novo methylation describe erasure through two germlines, and then a resetting.

These data provide a rationale for investigation of the role of CHKA in further models of de novo and acquired resistance to AIs, and provide proof of concept that integrative genomic analyses can identify biologically relevant modulators of AI response.

We see that when we set the fission rate to 0 and tune the production rates in the two alternative de novo biogenesis models to produce the same mean peroxisome abundance, the alternative models of de novo peroxisome biogenesis produce abundance distributions whose Fano factors, σ/<n> = 1.0, are virtually identical to each other and to the value we expected from the Poisson distribution.

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