Sentence examples for diverse microarray experiments from inspiring English sources

In order to apply our age predictor across diverse microarray experiments, we needed to address two issues: microarray platform differences and baseline differences attributable to variations in experimental technique.

An expression correlation analysis was performed across a large number (322) of diverse microarray experiments to determine the level that AtWAKL10 is co-expressed with other genes represented on the ATH1-22K full genome microarray chip.

Our method for identification of gene clusters allows the integration of diverse microarray experiments from many sources.

The clustering of genes according to shared expression patterns across diverse microarray experiments has provided insights into gene regulation and has assigned function to previously uncharacterized genes.

Using the Arabidopsis genome as a model system, we presented a method for identification of gene modules from diverse microarray experiments.

Our analysis was aimed at detecting gene modules that are co-expressed in a wide variety of experimental conditions, therefore we have used a set of diverse microarray experiments for our analysis.

The discrepancy of results may reflect the fluctuation of transcriptome patterns during ECM formation, as seen in various microarray experiments [ 32- 34], diverse biological material and experimental designs.

Using 3,934 diverse mouse microarray experiments we found striking similarities in transcriptional system regulation between human and mouse.

Here we present a simple method for clustering expression data from a diverse set of microarray experiments.

It is a comprehensive compilation of evolutionary conserved gene co-expression pairs from a diverse set of DNA microarray experiments that were obtained from four different organisms: 1,202 DNA microarrays from H. sapiens, 979 from C. elegans,155 from D. melanogastor, and 643 from S. cerevisiae.

Aggregating of multiple microarray experiments by diverse authors poses unique challenges due to a significant component of technical noise, overlaid with biological variability.