A Comparison of Normalization Methods for High Density ...

A Comparison of Normalization Methods for high DensityOligonucleotide array data based on variance and BiasB. M. Bolstad1, R. A. Irizarry2, M. Astrand3and T. P. Speed4, 51 Group in Biostatistics, University of California, Berkeley, CA 94720, USA,2 Department of Biostatistics, JohnHopkins University, Baltimore, MD, USA,3 AstraZeneca R & D M olndal, Sweden,4 Department of Statistics,University of California, Berkeley, CA 94720, USA and5 Division of Genetics and Bioinformatics, WEHI,Melbourne, AustraliaABSTRACTM otivation:When running experiments that involve multi-ple high Density oligonucleotide arrays, it is important to re-move sources of variation between arrays of non-biologicalorigin. Normalization is a process for reducing this varia-tion. It is common to see non-linear relations between ar-rays and the standard Normalization provided by Affymetrixdoes not perform well in these :We present three Methods of performing nor-malization at the probe intensity level.

A Comparison of Normalization Methods for High Density Oligonucleotide Array Data Based on Variance and Bias B. M. Bolstad1, R. A. Irizarry2, M. Astrand3 and T. P. Speed4, 5 1Group in Biostatistics, University of California, Berkeley, CA 94720, USA, 2Department of Biostatistics, John Hopkins University, Baltimore, MD, USA, 3 AstraZeneca R & D Molndal, Sweden,¨ 4Department of …

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  Based, Array, High, Data, Methods, Variance, Density, Oligonucleotide, Bias, Methods for high density oligonucleotide array data based

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