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Sentence examples for microarray intensity data from inspiring English sources

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This method was applied to all the normalized and filtered microarray intensity data after summarization of the 22,814 probes in the training set (retaining only the maximum intensity value for those genes represented by more than one probe and eliminating those probes without a gene symbol).

Before correlation analysis, we transformed the microarray intensity data into log scale of base 2 such that they were comparable with the Ct data of miRNAs.

Raw microarray intensity data generated using the Affymetrix GeneChip Human Exon 1.0 ST array from 176 HapMap cell lines by Huang et al. [33] and from 14 cell lines from CEPH pedigree 1444 by Kwan et al. [11] were obtained from GEO and processed using the Affymetrix Power Tools as described previously [8].

Microarray intensity data contains information to estimate the RNA quality of the sample.

Application of the method gives statistical support for a more aggressive interpretation of microarray intensity data.

Microarray intensity data files have been deposited in NCBI Gene Expression Omnibus (series accession number GSE30724) (http://www.ncbi.nlm.nih.gov/geo/).nih.gov/geo/

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Next, we describe software called "GenePool," which directly analyzes SNP microarray probe intensity data and ranks SNPs by increased likelihood of being genetically associated with a trait or disorder.

The microarray signal intensity data from all four alleles (A, C, G, and T), on both the sense and antisense strands formed the relative expected allele intensity.

Affymetrix microarray raw intensity data (CEL-file format) were downloaded from the public repositories Gene expression omnibus (http://www.ncbi.nlm.nih.gov/geo) or Array Express (http://www.ebi.ac.uk/microarray-as/ae/).

Once data generation for the validation cohort was completed, the expression microarray signal intensity data from all individuals and all time points in that cohort were processed in a single batch.

Raw microarray signal intensity data was first corrected on Illumina probe type, followed by individual methyl and non-methyl channel quantile normalization using the Limma package in R/Bioconductor.

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