Sentence examples for capability of gene expression from inspiring English sources

The capability of gene expression microarrays to simultaneously measure essentially all human genes has made possible a variety of approaches to analyzing biological samples [10].

In summary, the IR provides a metric for the capability of gene expression data to support clinical decisions.

To optimize the full capability of gene expression profiling using microarray-based assays, technologies are being optimized to reliably perform gene expression profiling on FFPE specimens, currently the most common type of clinical specimen available, particularly for phase III adjuvant treatment trials.

Based on the older idea [ 8] that tumors and wounds produce a similar microenvironment which facilitates proliferation and migration of cells and stimulates angiogenesis, the papers of Chang and collaborators [ 9, 10] determined prognostic capabilities of gene expression signatures associated to wound healing.

Such induced pluripotent stem cells (iPSCs) have properties very similar to blastocyst-derived stem cells, including similar developmental capabilities, patterns of gene expression and epigenetic states [ 16].

From its inception twenty years ago, APSIM has evolved into a framework containing many of the key models required to explore changes in agricultural landscapes with capability ranging from simulation of gene expression through to multi-field farms and beyond.

The national and international collaborations (e.g., HESI and NCT) that have tested the capabilities and interlaboratory reproducibility of gene expression data have played an important role in this rapid progress.

Our results for the toxicity experiment with E. crypticus are consistent with regulatory capabilities for broad fine-tuning of gene expression levels, far beyond what conventional methods of normalization would allow to detect.

Recent advances in molecular imaging techniques provide a unique capability for noninvasive and serial monitoring of gene expression in the same living animal [7].

The capability to make semi-quantitative predictions of gene expression levels and protein activity for any combination of gene deletions and nutrient conditions is a key feature of the model.

The genetic mechanisms of prostate tumorigenesis remain poorly understood, but with the advent of gene expression array capabilities, we can now produce a large amount of data that can be used to explore the molecular and genetic mechanisms of prostate tumorigenesis.