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Our approach, based on standard glass slide microarray technologies, is approximately five orders of magnitude more sensitive.
Furthermore, establishing the correlation and reproducibility among different microarray technologies is important for the validation of microarrays as robust, sensitive, and accurate detectors of differential gene expression.
Analysing gene expression data from microarray technologies is a very important task in biology and medicine, and particularly in cancer diagnosis.
The reduced power of microarray technologies is shown to be mainly due to lack of power to detect differential expression for lowly expressed genes, possibly due to presence of background intensities, a problem that does not affect Solexa/Illumina.
While gene-expression profiling using microarray technologies is available for skin biopsies [ 7] and cultured fibroblasts from individuals with a diagnosis of SSc [ 8, 9], a global portrait of gene expression of microvascular endothelial cells (MVECs) has not been reported in the literature.
The advantage of the newer microarray technologies is the ability to measure the RNA expression of thousands of genes at one time, and to relate how the gene expression pattern of one gene correlates to the expression of other genes in or between different tumour samples, or to measure DNA amplification or loss of DNA.
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Microarray technologies are an important strategy for genome-wide expression pattern analysis and is becoming increasingly important for gene functional analysis (Schmid et al.[2005]).[2005]
Results: Microarray technologies are having a substantial impact on biomedical research, including many areas relevant to otolaryngology-head and neck surgery.
Tissue analyses at the DNA, RNA, and protein levels through protein and microarray technologies are examples of these advances.
DNA microarray technologies are widely used to detect and understand genome-wide gene expression regulation and function.
GCAT is freely available at http://binf1.memphis.edu/gcat Microarray technologies are routinely used to examine gene expression profiles under different experimental conditions.
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