Comparison of small n statistical tests of differential expression applied to microarrays |
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Authors: | Carl Murie Owen Woody Anna Y Lee Robert Nadon |
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Institution: | (1) McGill University and Genome Quebec Innovation Centre, 740 avenue du Docteur Penfield, Montreal, Quebec, H3A 1A4, Canada;(2) Department of Human Genetics, McGill University, Montreal, 1205 avenue du Docteur Penfield N5/13, Quebec, H3A 1A4, Canada |
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Abstract: | Background DNA microarrays provide data for genome wide patterns of expression between observation classes. Microarray studies often
have small samples sizes, however, due to cost constraints or specimen availability. This can lead to poor random error estimates
and inaccurate statistical tests of differential expression. We compare the performance of the standard t-test, fold change,
and four small n statistical test methods designed to circumvent these problems. We report results of various normalization
methods for empirical microarray data and of various random error models for simulated data. |
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Keywords: | |
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