Sentence examples for the microarrays were normalized using from inspiring English sources

All the microarrays were normalized using the same method.

The microarrays were normalized using the algorithm Robust Multi-Array Average (RMA) [ 29] and applying a gene-centric redefinition of the probes from the Affymetrix arrays to Ensembl genes (Ensembl IDs ENSG).

The microarrays were normalized using Lowess normalization and the t-test p-values were FDR adjusted such that spots with an FDR p-value of less than 0.05 were considered significant.

The BeadChip microarrays were normalized using a cubic-spline normalization algorithm using Illumina's BeadStudio software in an attempt to minimize environmental factors during microarray processing that may affect levels of expression.

After using the MAXRS method, results among microarrays were normalized using the quantile method [ 21], and the test for differential expression between the two conditions was performed with the empirical Bayes moderated t-statistics implemented in the Bioconductor package limma [ 11].

The background-corrected intensities of all microarrays were normalized using the LOESS algorithm as reported [ 13].

Microarrays were normalized using the MAS5 algorithm, and expression threshold and ceiling values were applied as described [8].

Signal intensities across all microarrays were normalized using the quantile-quantile method (www.bioconductor.org) to provide consistency of signal strength across developmental and dietary conditions.

Data files of all microarrays were normalized using the Robust Multi-Chip Average (GCRMA) method [ 57].

Data obtained from E. coli O157 H7 microarrays were normalized using the Ratio-based and Lowess methods in Acuity 3.1 (Axon instruments) before analysis.

Microarrays were normalized using RMA and the University of Michigan custom CDF file (version 12.1.0) with mappings to Ensembl exon IDs.