Abstract
A new normalization scheme for DNA microarray data, called UnitExpresion, is introduced. The central idea is to derive a precise model of unexpressed genes. Most of the expression rates in a typical microarray experiment belong to this category. Pareto probability density estimation (PDE) and EM are used to calculate a precise model of this distribution. UnitExpressions represent a lower bound on the probability that a gene on a microarray is expressed. With UnitExpressions experiments from different microrarrays can be compared even across different studies. UnitExpressions are compared to standardized LogRatios for distance calculation in hierarchical clustering.
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Ultsch, A. (2006). UnitExpressions: A Rational Normalization Scheme for DNA Microarray Data. In: Spiliopoulou, M., Kruse, R., Borgelt, C., Nürnberger, A., Gaul, W. (eds) From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31314-1_83
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DOI: https://doi.org/10.1007/3-540-31314-1_83
Publisher Name: Springer, Berlin, Heidelberg
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