Sentence examples for utilization of expression from inspiring English sources
Nevertheless, the correlation of LY294002 with the PI3K signature, but not with PIK3CA or PTEN mutational status, suggests that the utilization of expression signatures can extend the opportunities for identifying relevant candidate drugs and can complement the previous NCI-60 drug screen methods relying on mutational information [5], [6], [7], [28], [30].
Although the proper design of many conveying systems requires the utilization of expressions that are applicable across a broad range of operating parameters, most expressions are system specific, which means that they are not extendable to other conditions.
Many developmental expression analyses involve utilization of reporter expression assays, where the perdurance of an exogenous reporter gene can mask the normal expression dynamics of endogenous proteins.
Utilization of gene expression microarrays has made it clear that for a given gene investigated in a large enough data set other genes exist that display high similarity in expression pattern across samples.
These results highlight the importance of joint utilization of gene expression and disease risk phenotypes.
Also – practical utilization of gene expression signatures has been questioned by many due to the known problems of reproducibility and validation.
We also demonstrate the utility of lima bean cotyledons and soybean hairy roots for rapid promoter analyses and provide novel insights towards the utilization of these expression systems.
First, the utilization of the expression 'trend towards a significant association', which was used when the p value was between 0.05 and 0.1.
The present effort to identify and describe key attributes of uncharacterized NAC TFs in potato genome using high-throughput genome-wide survey, and utilization of available expression data coupled with molecular tools provides foundation of our understanding of their regulatory roles.
While this problem has been investigated by many over past 10 years or so, the importance of utilization of gene expression data for classification of cancer samples remains high.
Cross-platform utilization of gene expression data from the SAGE and microarray technology could reduce the need for duplicate experiments and facilitate a more extensive exchange of data within the research community.
