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For the third issue, meta-analysis was adopted to integrate multiple microarray profiles.
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We used a statistical meta-analysis technique [ 43] to identify highly correlated expression profiles from multiple microarray datasets.
The SAM and PCA analyses of the microarray profiles brought forward multiple probes targeting a group of several species within genus Porphyromonas - P. catoniae, P. gingivalis, P. macacae and P. gulae - as significantly associated with health.
The integration of gene expression information from multiple microarray studies can enhance the characterization of gene expression profiles that are consistently expressed across experiments.
The signatures are comprised of biologically relevant genes and have been evaluated on genomic profile data obtained by multiple institutions using multiple microarray types, reflecting real-world usage.
Combining gene profiles obtained from different expression platforms, including direct high-throughput sequencing (MPSS) and multiple microarray platforms, yielded a validated transcriptome comprising 8,051 differential transcripts.
A scalable method for integration and functional analysis of multiple microarray datasets.
Gutiérrez-Ríos, R. M. et al. Regulatory network of Escherichia coli: consistency between literature knowledge and microarray profiles.
We detect key information of high-dimensional microarray profiles based on wavelet analysis and genetic algorithm.
Microarray profiles are stored as CEL files.
Microarray profiles of ccr4 catalytic site mutants.
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