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Additionally, Genesapiens has pooled the largest group of consistently well-annotated diverse microarray data in the public domain.
Our analysis shows good results for learning a static Bayesian network at each iteration for a given set of genes, partly owing to the large and diverse microarray data set used.
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We have shown that a large, diverse collection of microarray data can be used in a combined-analysis approach to identify candidate genes involved in the processes of leaf development.
Finding such diverse conclusions about noise in microarray data suggest an in-depth investigation of this issue.
To test this hypothesis, we compared the expression similarity for tandem duplicates and retrogenes by using microarray data across diverse tissues.
This research identified a large set of mouse genes as switch-like by assembling and analyzing a large collection of microarray data encompassing diverse tissue types.
The robustness of the predicted regulatory network model of starch metabolism was further verified using a diverse set of "condition-independent" microarray data.
This research expanded our representation of "switch-like" gene expression by cataloging the bimodal genes evident in human microarray data for diverse tissue types.
Although numerous investigations have compared gene expression microarray platforms, preprocessing methods and batch correction algorithms using constructed spike-in or dilution datasets, there remains a paucity of studies examining the properties of microarray data using diverse biological samples.
This study focused on generating pan-genomic cDNA microarray data for diverse xenograft models from the time of initial implantation to the tenth passage using the Affymetrix HG-U133 Plus 2.0 array.
In the current study, we reasoned that by examining a diverse collection of publicly available microarray data from distinct mouse cell populations and tissues, we would be able to identify a co-expressed gene signature that was specific to the FAE and thereby gain insights into the genes that regulate the activity of the cells within it.
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