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For the last decade, genome-wide expression analysis technologies have been rapidly evolving.
With the development of gene expression analysis technologies, many studies have been focused on discovering factors that affect gene expression levels.
Increased adoption of high-throughput, whole-genome gene expression analysis technologies has led to an increased focus on the reliability of the experimental measurements they produce.
DADA was designed in order to overcome specific shortcomings of established differential expression analysis technologies used today, e.g. the need to sequence all of the examined genes or the involvement of PCR steps.
For cross-platform comparison, normalized data for both Sample A and Sample B from the other gene expression analysis technologies were directly obtained from published results [ 8, 12] and from the database accessible from the MAQC website [ 20].
The development of high-throughput gene expression analysis technologies, such as gene-chip and next generation sequencing, has made it possible to understand disease related biological mechanisms at the genome-wide level [ 2].
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So far, most biomarkers are discovered by peptidomics and proteomics that constitute expression analysis technology data sets.
Dubbed ReactivAds, the new suite of interactive video ad formats promises to leverage "emotion, facial and gesture recognition" via any device's webcam to offer a much more personalised ad experience based on Vyking's live facial expression analysis technology.
The advancement of expression analysis technology has led to the development of corresponding databases and standards.
SAGE, which is also a tag-count based gene expression analysis technology and has been widely used for transcriptome profiling study, usually collects 50,000 to 100,000 short tags for each sample [ 43].
Using facial-expression analysis technology to gauge the reaction of viewers, who agree to be watched, may well become a valuable tool for movie makers, said Mr. Hamilton, who is not involved with Affectiva.
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