Delineation of amplification,hybridization and location effects in microarray data yields better-quality normalization |
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| Authors: | Marc Hulsman Anouk Mentink Eugene P van Someren Koen J Dechering Jan de Boer Marcel JT Reinders |
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| Affiliation: | (1) Delft Bioinformatics Lab, Delft University of Technology, Mekelweg 4, Delft, 2628, CD, The Netherlands;(2) Department of Tissue Regeneration, University of Twente, PO box 217, Enschede, 7500AE, The Netherlands;(3) Centre for Molecular and Biomolecular Informatics (CMBI), Radboud Universiteit Nijmegen, PO box 9101, Nijmegen, 6500HB, The Netherlands;(4) Department of Applied Biology, Radboud Universiteit Nijmegen, PO box 9101, Nijmegen, 6500HB, The Netherlands;(5) Department of Molecular Pharmacology, Merck Research Laboratories, PO Box 20, Oss, 5340BH, The Netherlands;(6) Physiological Genomics Group, BU Biosciences, TNO Quality of Life, PO Box 360, Zeist, 3700AJ, The Netherlands |
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| Abstract: | Background Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is a crucial step when comparing measurements from these arrays. Normalization is, however, far from a solved problem. Frequently, we encounter datasets with significant technical effects that currently available methods are not able to correct. |
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