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The array data analysis was performed using the RMA algorithm.
The data were normalized using the RMA algorithm [24] in the GeneSpring software.
Normalization was carried out using the RMA algorithm [44] as implemented in Bioconductor.
The expression values for each gene were calculated using the RMA algorithm [36].
Measurements were normalized using the RMA algorithm [18] within the commercial software package, GeneSpring.
Data from Affymetrix human U133 v2 arrays and mouse Affymetrix 430 v2 arrays were processed using the RMA algorithm.
Probes were summarized to gene level data in Partek Genomics Suite v6.5 (Partek, St . Louis MO) using the RMA algorithm.
Probe set intensity were calculated using the RMA algorithm and normalized by the quantile method [41], [42].
All the CEL files were processed using the RMA algorithm implemented in Bioconductor to generate normalized expression values.
Array images were manually checked for defects using DChip [20], [21] and then normalized using the RMA algorithm in Affymetrix Expression Console (v1.0).
Array data were analyzed by Phalanx Biotech Group (Palo Alto) using Omicsoft Array Studio software and normalized using the RMA algorithm.
More suggestions(15)
using the Forward algorithm
using the Berendsen algorithm
using the gcRMA algorithm
using the Viterbi algorithm
using the Burg algorithm
using the MaxEnt3 algorithm
using the Rega algorithm
using the rma pre-processor
using the rma method
using the rma expression
using the Quickhull algorithm
using the rma software
using the rma procedure
using the rma function
using the Maxent algorithm
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