Sentence examples for background adjustment normalisation and from inspiring English sources

Probeset intensities were imported in Partek GS v6.5 (Partek Incorporated, St Louis, MO, USA), and processed using the robust multi-array analysis (RMA) algorithm for background adjustment, normalisation, and log2 transformation of perfect match (PM) values (Irizarry et al, 2006).

Background adjustment, normalization and summarization were performed using gcrma and the affy package.

We used the LIMMA package to perform the background adjustment, normalization and summarization [ 58].

Next MAS5.0 was used to perform additional pre-processing for background adjustment, normalization and summarization.

Background adjustment, normalization and summarization of the microarray data was done using the GCRMA method [ 34].

Background adjustment, normalization and summarization of the microarray data were performed using the GCRMA method.

Raw data (CEL files) were imported into R statistical software [ 38] and normalised using the GCRMA method (GC Robust Multi-array Average (GCRMA) background adjustment, quantile normalisation, and median polish summarisation) [ 39].

The Robust Multichip Average performed background adjustment, quantile normalisation and summarisation of 11 oligonucleotides per gene.

This dataset contains gene expression data of human pancreatic islets from 63 donors generated on Affymetrix GeneChip Human Gene 1.0 ST arrays (Affymetrix, High Wycombe, UK). Background adjustment and quantile normalisation and summarisation were computed in the Array Studio software (Omicsoft Corporation; http://www.omicsoft.com) to generate Robust Multichip Average expression values.

RMA (RMAexpress version 0.3) consists of three steps: background adjustment, quantile normalization, and summarization [23].

Robust Multichip Average did background adjustment, quantile normalization, and summarization of 11 oligonucleotides per gene.