Sentence examples for using the gcRMA algorithm from inspiring English sources

Normalization was performed in R using the gcRMA algorithm [35].

Database and expression levels were normalized using the GCRMA algorithm.

They were also normalized using the gcRMA algorithm.

Data was normalized using the GCRMA algorithm [8] implemented in R and bioconductor [9].

Expression data were pre-processed and normalized using the gcRMA algorithm [97].

Expression values were background corrected using the GCRMA algorithm (Robust Multi-array analysis with correction for GC content) [19], [20].

Expression sets were calculated from raw microarray of the two combined datasets using the GCRMA algorithms implemented in Bioconductor [ 19].

Normalization of all data sets was performed using the gcRMA [ 22] algorithm in the R statistical language as part of the Bioconductor bioinformatics software [ 23].

In this sense, we used here the gcRMA algorithm which moderately compresses data, less than RMA but more than MAS5.

Probeset-level were generated using the GCRMA method [69] and normalized using quantile normalization [70] at the probe level.

The fold changes were computed using the gcrma protocol [22], [23] within the R Bioconductor framework [24].