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These numbers suggest that many alternative splicing events are differentially expressed but go undetected by current gene expression profiling technologies.
The estimated proportion of non-differentially expressed genes p0 shows great difference between the different expression profiling technologies.
Gene expression profiling technologies can provide 'molecular snapshots' of global transcriptional programmes expressed in tumours, not only from cancer cells but also from other tumour-associated cell types, such as fibroblasts, blood vessels and immune cells.
Roden, C., Mastriano, S., Wang, N. Y. & Lu, J. microRNA expression profiling: technologies, insights, and prospects.
High-throughput expression profiling technologies have effectively altered the experimental design of gene expression assessments.
Ever since the introduction of genome-wide gene expression profiling technologies, module detection methods have been a cornerstone in the biological interpretation of large gene expression compendia1,2,3.
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High-throughput gene expression profiling technology has revealed new insights into the molecular heterogeneity of CRC and identified new and better molecular markers for risk stratification.
To gain a more comprehensive and system-wide understanding of molecular pathways in GBM, more sensitive gene expression profiling technology is needed.
With the advent of global gene expression profiling technology within the last ten years, we can now more readily examine oncogenic pathways at the level of gene transcription.
To this end, the use of contemporary mass gene expression profiling technology, especially involving gene microarrays on Chips, has already greatly expanded the list of known androgen regulated genes in prostate cancer cells [6] [9].
Gene expression profiling technology provides an unbiased approach to identifying candidate genes for mental disorders.
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