Sentence examples for microarray intensity values from inspiring English sources

Raw microarray intensity values are pre-processed using the Robust Microarray Average (RMA) method [ 22].

The first analysis employed a composite LOWESS normalization of microarray intensity values.

The ability to assess whether microarray intensity values are predictors of verifiable gene expression facilitates the interpretation of microarray data.

The average FPKM and average microarray intensity values of the biological replicates were calculated for all conditions.

A new computational method has been designed to identify tissue-selective genes using both microarray intensity values and detection calls.

Values in the table are the Spearman rank correlation coefficients comparing the averaged RNA-seq FPKM and microarray intensity values.

Additional file 1: Spearman rank correlation between RNA-seq FPKM and microarray intensity value for each gene profiled by both RNA-seq and FPKM.

To reduce variation between microarrays, the intensity values for samples in each microarray were rescaled using a quartile normalization method in the BeadStudio module.

For microarrays performed by Mikkelsen et al. [ 50], we define a gene as repressed if the microarray signal intensity value is below 25.

As part of this study we also introduce a new pre-processing method of microarray probe set intensity values that helps with the inspection of microarray quality and aides the choice of background compensation and normalization procedure.

Affymetrix microarray data contain intensity values and absent/present flags for each probe set.