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Following the manufacturer's recommendations the arrays were processed using fluidics station 450 and high-resolution microarray scanner 3000.
Raw image files of the arrays were processed using DeArray software [23] and resulting image data were imported into R environment using bioconductor packages [24] for further analysis.
Following hybridization, the arrays were processed using a Genechip Fluidics Station 400 according to the recommended protocols (EukGE-WS2v4, Affymetrix) of double-staining and post-hybridizations washes.
Scanned images of the arrays were processed using Feature Extraction software (Agilent Technologies).
Scanned images of the arrays were processed using Feature Extraction 10.7.3.1 software (Agilent Technologies, Palo Alto, California) with default parameters.
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The data from these arrays were processed using Robust Multiarray Averaging (RMA) [ 48], as well as with dchip and Microarray Suite 5.0 (MAS) in order to determine which method would be most appropriate for the data analysis.
Scans of the Affymetrix arrays were processed using the Bioconductor package [ 28].
The SNP arrays were processed using the aroma.affymetrix package in R to estimate raw copy numbers [ 20].
Raw data from the U133X3P arrays were processed using the Bioconductor rma package with default parameters for background correction, quantile normalization and signal summation [ 10, 11].
Scans of the Affymetrix arrays were processed using packages from the Bioconductor project [ 67].
The raw scanned array images from the Affymetrix GeneChip U95 arrays were processed using GCOS 1.1 software using the MAS5 algorithm (Affymetrix Corporation, Santa Clara, Ca) to generate probe cel intensity (*.cel) files.
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