Sentence examples for identification of panels from inspiring English sources

Finally, our analytical approach, as it is based on the identification of panels of genes may identify different loci than those used in candidate analyses, but hypermethylation of those previously described candidates, may, in fact, be highly correlated to the methylation patterns identified herein.

The identification of panels of tumor antigens that elicit a humoral response may have utility in cancer screening, diagnosis or in establishing prognosis.

Important research needs include the identification of panels of protein markers that are likely to provide useful clinical information, design of practical assays for these panels, and validation of these panels and assays in well characterized populations of human subjects.

These promising data are supportive of the application of wider profiling approaches to the identification of biomarker panels as diagnostic tools for the classification of psychiatric diseases.

Our primary goal is the identification of small panels of AIMs that achieve accurate assignment of individuals to breeds, using the reported ancestral breeds in the Bovine HapMap dataset [19] as reference.

Patients were formally enrolled with their physician, allowing the identification of practice panels [ 24].

In the current study, we applied the BPL method to the analysis of DNA methylation for identification of prognostic panels of DNA methylation cancer biomarkers of imprinted genes.

To dissect the regulatory principles of this network, immunologists have early on embraced system-wide transcriptomics tools, leading to identification of large panels of potential regulatory factors.

This is the first study reporting the use of PCR-Luminex for identification of prognostic panels of DNA methylation biomarkers for cancer.

This has resulted in identification of molecular panels that show some promise for prediction of response or for monitoring treatment outcome.

Biostatistical analysis of peripheral blood gene expression data leads to the identification of gene panels that can help predict responsiveness of therapy and support the clinical decision-making process.