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- W756844656 abstract "Variation in tissue sample preparation leads to variation across the Transcriptome not just betweenexperiments but to between individual microarrays. Normalisation is essential before data from differentarrays can be compared. Quantile normalisation can be used to force data from a single GeneChip totake a given distribution. However quantile normalisation can be blind to the consistent spatial variationwe note in thousands of Affymetrix’ High-density oligonucleotide array (HDONAs) from NCBI GEO.We propose a simple computationally efficient normalisation technique which takes into account thespatial aspect. BioConductor R code is included." @default.
- W756844656 created "2016-06-24" @default.
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- W756844656 date "2008-01-01" @default.
- W756844656 modified "2023-09-27" @default.
- W756844656 title "CES-484 Row Quantile Normalisation of Microarrays" @default.
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