Sentence examples for use of microarray technologies from inspiring English sources
The present review focuses on the use of microarray technologies to investigate the functional pathogenomics of infectious disease in cattle.
This article focuses on strategies to profile protein levels and in particular the human protein atlas initiative and the use of microarray technologies.
Over the past few years, the use of microarray technologies has contributed to the identification of new markers for the diagnosis and prognosis of human tumors.
Identification and correction of assay artifacts, which are known to be a significant issue associated with the use of microarray technologies.
Overall, the use of microarray technologies for the study of bladder cancer remains a new research field.
Fortunately, with the advent and increased usage of nucleic acid amplification techniques and fluorescent in situ hybridisation, such alternate techniques are more readily available; moreover, coincidental use of microarray technologies with nucleic acid amplifications may allow for screening of thousands of genes (Farkas et al, 1996).
The use of microarray technology to measure changes in gene expression is a useful approach for the study of the expression profiles of glycosyltransferases, carbohydrate binding proteins, and related enzymes.
Previous blood PD transcriptome studies show low concordance, possibly resulting from the use of microarray technology, which has high measurement variation.
This study's objective was use of microarray technology to differentiate the gene expressions of spermatozoa that achieved pregnancy in an intracytoplasmic sperm injection (ICSI) cycle in an oocyte donation programme with those that did not achieve pregnancy.
CONCLUSIONS: This study represents an initial report on the use of microarray technology to elucidate cardiac transcriptional programs in response to cardiopulmonary bypass-specific injury in vivo.
Although the use of microarray technology has seen exponential growth, analysis of microarray data remains a challenge to many investigators.
