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How to decide whether small samples comply with an equidistribution | | Thorsten Poeschel
; Jan A. Freund
; | | Date: |
10 May 2002 | | Journal: | BioSystems, Vol. 69, 63-72 (2003) | | Subject: | Disordered Systems and Neural Networks; Quantitative Methods | cond-mat.dis-nn q-bio.QM | | Abstract: | The decision whether a measured distribution complies with an equidistribution is a central element of many biostatistical methods. High throughput differential expression measurements, for instance, necessitate to judge possible over-representation of genes. The reliability of this judgement, however, is strongly affected when rarely expressed genes are pooled. We propose a method that can be applied to frequency ranked distributions and that yields a simple but efficient criterion to assess the hypothesis of equiprobable expression levels. By applying our technique to surrogate data we exemplify how the decision criterion can differentiate between a true equidistribution and a triangular distribution. The distinction succeeds even for small sample sizes where standard tests of significance (e.g. chi^2) fail. Our method will have a major impact on several problems of computational biology where rare events baffle a reliable assessment of frequency distributions. | | Source: | arXiv, cond-mat/0205225 | | Services: | Forum | Review | PDF | Favorites | |
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