Sentence examples for using the Robust microarray from inspiring English sources

Expression signal values and p-values were obtained for each PS using the Robust Microarray Analysis (RMA) algorithm in ArrayAssit® software (Stratagene, La Jolla, CA, USA), on the "full" PS set (1,381,324 PS).

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

Raw probe intensities were normalized using the Robust Microarray Average (RMA) approach [ 81].

Data were normalised and probe intensity measures were generated using the Robust Microarray Analysis algorithm (Irizarry et al, 2003).

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

Microarray data was processed using the robust multi-array averaging method (RMA) [ 41].

Microarray data was normalized using the robust multichip average method (RMA) [ 21, 22].

Affymetrix microarray data were normalized using the robust multi-array average algorithm implemented in the affy package [ 17].

The microarray data were preprocessed using the Robust Multichip Average (RMA) package [ 123] as implemented in R [ 124].

Data normalization of microarray experiments were performed using the robust multi-array average (RMA) algorithm included in the Partek Genomics Suite software (Partek, MO, USA).

The microarray data were analyzed using the robust multi-array average (RMA) software (RMA version 0.2) of background adjusted, normalized, and log transformed perfect match values [ 63].