There is no silver bullet--a guide to low-level data transforms and normalisation methods for microarray data.

David P Kreil; Roslin R Russell

doi:10.1093/bib/6.1.86

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There is no silver bullet--a guide to low-level data transforms and normalisation methods for microarray data.

David P Kreil·Roslin R Russell

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Abstract

To overcome random experimental variation, even for simple screens, data from multiple microarrays have to be combined. There are, however, systematic differences between arrays, and any bias remaining after experimental measures to ensure consistency needs to be controlled for. It is often difficult to make the right choice of data transformation and normalisation methods to achieve this end. In this tutorial paper we review the problem and a selection of solutions, explaining the basic principles behind normalisation procedures and providing guidance for their application.

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Algorithms Artifacts Calibration Data Interpretation, Statistical Gene Expression Profiling Genetic Variation Models, Genetic Models, Statistical Numerical Analysis, Computer-Assisted Oligonucleotide Array Sequence Analysis Sequence Analysis, DNA Comparative Study Journal Article Review

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David P Kreil, Roslin R Russell. 2005. There is no silver bullet--a guide to low-level data transforms and normalisation methods for microarray data.. https://doi.org/10.1093/bib%2F6.1.86

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