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As microarray technology facilitates simultaneous analysis of thousands of genes, a larger panel of genes most likely yields a more robust predictor for quality control purposes.
The microarray technology facilitates large-scale surveys of gene expression data for whole-genome mapping and gene expression analyzing under various conditions [ 4].
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Recent developments in the field of carbohydrate microarray technology facilitate applications for different types of protein carbohydrate interactions.
Microarray technologies facilitate high-throughput gene expression analysis.
A very powerful way to gain insight into the molecular complexity of cells and tissues has arisen with the advent of DNA microarray technology, which facilitates open-ended survey to identify comprehensively the fraction of genes that are differentially expressed among patients with clinically defined disease.
A recent study in Saccharomyces cerevisiae used a comprehensive panel of yeast deletion mutants and microarray technology to facilitate the identification of the intracellular targets of a compound [1].
Development of microarray technology has facilitated analysis of genome-wide expression profiles (Zembutsu et al, 2002; Yang et al, 2005).
The development of genomic tools, such as microarray technology, has facilitated a global examination of this process.
Commercially available microarray technologies can facilitate efforts at global gene expression profiling.
The advent of high throughput sequencing and microarray technologies has facilitated large-scale studies on gene expression changes during fruit development in a number of species, including climacteric fruits tomato and apple, and the non-climacteric fruit strawberry [ 1- 3].
The recent development of microarray technology has significantly facilitated the identification of disease-related genes [ 1- 4].
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