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At the present time, expression-based biomarkers developed from microarray technologies have not emerged for the rheumatic diseases of childhood.
The advances on DNA microarray technologies have enabled researchers to gain hundreds to thousands of gene expression levels.
Recent advances in next-generation sequencing and phylogenetic microarray technologies have identified diverse, niche-specific microbial communities that comprise the human superorganism.
Recent developments in microarray technologies have revolutionarized the way in which DNA methylation is studied.
Microarray technologies have also played a prominent role in shaping our understanding of the complexity of transcriptome [1], [6], [7].
As the microarray technologies have been widely used during the past decade, enormous data have been accumulated.
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As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments.
In the research field, these genome-wide analyses using microarray technology have been providing deeper biological insights for a decade.
The gene expressions profiled by microarray technology have been a major strategy to detect mRNA abundance.
RNA isolation, amplification and microarray technology have been described in detail in previous studies [ 14, 15].
Recently, microarray technology has increasingly been widely applied in glycobiology.
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