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This study sought to identify changes in the transcript profile of C. thermocellum ATCC 27405 grown on the substrates of pretreated Populus and switchgrass and whether these profiles were maintained across the two gene expression analytical platforms.
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In summary, we provide gene expression data and analytical results of comparing mouse gene expression in three brain regions and two strains.
Conventionally, workflows examining transcription regulation networks from gene expression data involve distinct analytical steps.
Several important issues to consider when integrating microarray studies include use of different gene expression measurement scales, varying analytical power and reliability of the results for individual studies.
High-throughput technology holds great promises for the efficient investigation of transcriptomes, but the enormous amount of gene expression data demands effective analytical tools.
Genomics also has the potential to substitute several classical analyses since the correlation between gene expression data and classical analytical methods for prognostic breast cancer markers (estrogen and progesterone receptor and KI67 expression) is excellent (U. Pfeffer, unpublished observations).
The Blueberry Genomics Database [ 4] is a public database that links blueberry expressed sequence tags (ESTs) with gene expression data and provides embedded analytical tools for data mining.
A search of SciFinder Scholar in January 2009 revealed 107 references to Bayesian inference networks, mostly relating to gene expression and regulation and to analytical chemistry.
Ultimately, two-transcript classifiers obtained from microarray gene expression data present a robust analytical tool for clinical diagnostics.
In the future the development of high-throughput gene expression and genomic microarray- based analytical platforms may answer many important questions about clear cell ovarian carcinomas [ 10].
The panels of standards provide further opportunities for QC of gene expression results when applying different analytical methods, such as fold change cut-off thresholds and statistical testing.
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