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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.
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.
Although the use of microarray technology has seen exponential growth, analysis of microarray data remains a challenge to many investigators.
The use of microarray technology has uncovered the pervasive diurnal rhythms in protein-encoding transcriptomes of light-sensing tissues for the model plant Arabidopsis [24], [25] and crop plants such as tomato [26] and soybean [27].
The use of microarray technology to assess gene expression levels is now widespread in biology.
The use of microarray technology allows for the simultaneous measurement of the expression level of genes on a genomewide scale.
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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.
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