Sentence examples for using the rma function from inspiring English sources

CEL files were processed and normalized using the rma function in the "affy" package of R Bioconductor.

Background correction, normalization and data summary were performed with non linear methods using the rma function of the affy package [71].

Microarray data were preprocessed using the rma function from the R package "affy".

Arrays were normalized and probeset-level expression values calculated with R/Bioconductor's (v2.14) affy package using the rma function [ 45].

Expression intensities were background corrected, quantile-normalized and summarized using the rma function of the oligo package [ 44].

Arrays were normalized, and probeset-level expression values calculated with R/Bioconductor's (v2.14) "affy" package by using the rma function.

We used the "rma" function with default settings to perform background correction and normalization.

For the raw intensity data, we use the "rma" function in R package "affy" [ 10] to do background correction, normalization, and summarization [ 26].

For the analysis of different Affymetrix pre-processing methods, the raw CEL file data from test site 1 were then analyzed with BioConductor to generate probeset level data using the rma and mas5 functions in R [38].

The data were imported from.CEL files using the Affy package (R/Bioconductor), and the rma statistic was generated for the probe-sets using the rma package (R/Bioconductor).

Normalization was carried out using the RMA algorithm [44] as implemented in Bioconductor.