Sentence examples for predictability of expression from inspiring English sources

The present study focuses on the evaluation of different approaches for tagging and the evaluation of the flexibility of incoming cassettes concerning the predictability of expression upon targeting.

A number of studies have investigated the predictability of gene expression using factors such as TF/histone binding activity in peak regions and chromatin accessibility [ 47, 48].

The predictability of FoxP3 expressions were evaluated with this second cohort using the optimum ROC cutoff determined with the initial 54 patients' data set (ROC cutoff: FoxP3 = 0.66).

This predictability of individual gene expression on a global background of multiple gene expression changes argues for a predominantly non-random, rather than stochastic, nature of reprogramming errors in bovine SCNT embryos which is in agreement with the study of Inoue et al. [ 39] on mouse SCNT.

This predictability of fate choice by GATA4-mCherry expression levels suggests this transcription factor is a dominant input into the decision in ESCs.

The experimental results show that the integration of network topology and gene expression increased the predictability of essential proteins in comparison with those centrality measures only based on network topological features.

Since standard measures to assess predictability of survival prediction models have not been fully established, various predictability measures are considered in the evaluation.

A power trendline illustrated the predictability of miRNAs behavior in terms of average expression and variation among samples (CV) with the equation y = 0.5967x-0.999, (R = 0.857) where "y" represents miRNA expression and "x" is the CV.

These findings suggest that in conjunction with the established clinicopathologic prognostic parameters of ovarian carcinoma, VEGF expression may enhance the predictability of patients at high risk for tumour progression who are potential candidates for further aggressive therapy.

Also the use of newer techniques such as DNA microarray may improve the predictability of response by combining the change in expression of larger numbers of genes (Assersohn et al, 2002).

However, by applying differential gene expression analysis the sensitivity and predictability of the test may be increased.