Sentence examples for expression precision from inspiring English sources

Indeed, microRNAs are known to accelerate the mRNA degradation of targeted genes and were hypothesised to play a role in increasing gene expression precision trough noise reduction (e.g. Bartel and Chen 2004; Schmiedel et al. 2015) and, in yeast, dosage sensitivity was also reported to affect gene expression noise (Lehner 2008).

A comparison between our hb intron dot data and Hb protein data reveals that both the boundary steepness and the expression precision exhibit marked differences (Figure 2).

These results suggest that, in order for the system to gain the necessary expression precision and boundary steepness for the Hb protein (the gene expression product), it needs to produce a steeper profile in transcriptional decisions that are noisier for a group of individual hb gene copies.

A carefully designed collaborative study enables estimation of a variety of gene expression measurement precision metrics: repeatability, several flavors of intermediate precision, and reproducibility.

This facilitated the development of digital competencies and put relevant information in the students' hands in order to serve as scaffolding in the knowledge construction process supporting their autonomy and the improvement of their analysis, synthesis, and expression with precision and responsibility.

In 1885 Twardowski enrolled at the University of Vienna and became a student of Franz Brentano, for whom he felt "the most sincere awe and veneration" and whom he remembered as "uncompromising and relentless in his quest for rigor in formulation, consistency in expression, and precision in the working out of proofs" (Twardowski 1926 , 20.

All these mechanisms may contribute to the multi-level regulation of PK expression, providing precision control of the key components of the cell signaling pathways that determine cell function and destiny.

Having an indirect influence on decisions about differential expression, the precision λ deserves particular attention.

These requirements ensured a minimum accuracy on the detection of prohormone gene expression and precision on the profile estimates.

The stochastic parameters (β(s) are given proper but minimally informative prior distributions, while the logical expression for precision (σ(s)) allows the standard deviation of the random effect distribution to be estimated.

To examine microarray expression value precision in each dataset, we adapted a metric developed by McCall et al. [ 17] for spike-in data and examined the standard deviation of microarray log-ratios of unexpressed and invariant genes, as described in Methods.