In:
Journal of Bioinformatics and Computational Biology, World Scientific Pub Co Pte Ltd, Vol. 02, No. 04 ( 2004-12), p. 669-679
Abstract:
A gene-expression microarray datum is modeled as an exponential expression signal (log-normal distribution) and additive noise. Variance-stabilizing transformation based on this model is useful for improving the uniformity of variance, which is often assumed for conventional statistical analysis methods. However, the existing method of estimating transformation parameters may not be perfect because of poor management of outliers. By employing an information normalization technique, we have developed an improved parameter estimation method, which enables statistically more straightforward outlier exclusion and works well even in the case of small sample size. Validation of this method with experimental data has suggested that it is superior to the conventional method.
Type of Medium:
Online Resource
ISSN:
0219-7200
,
1757-6334
DOI:
10.1142/S0219720004000806
Language:
English
Publisher:
World Scientific Pub Co Pte Ltd
Publication Date:
2004
SSG:
12
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