Three-parameter lognormal distribution ubiquitously found in cDNA microarray data and its application to parametric data treatment |
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Authors: | Email author" target="_blank">Tomokazu?KonishiEmail author |
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Institution: | (1) Faculty of Bioresource Sciences, Akita Prefectural University, Akita 010-0195, Japan |
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Abstract: | Background To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical
data distribution is available, a parametric method can normalize a group of data sets that have common distributions. Although
such models have been proposed for microarray data, they have not always fit the distribution of real data and thus have been
inappropriate for normalization. Consequently, microarray data in most cases have been normalized with non-parametric methods
that adjust data in a pair-wise manner. However, data analysis and the integration of resultant knowledge among experiments
have been difficult, since such normalization concepts lack a universal standard. |
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Keywords: | |
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