Genome Biology

official impact factor 6.89

This article has not been peer reviewed.

Deposited research article

A tool for comparing different statistical methods on identifying differentially expressed genes

Paul Fogel1, Li Liu2*, Bruno Dumas3 and Nanxiang Ge2

Author Affiliations

1 Paul Fogel Consultant, 4 rue Le Goff, 75005 Paris, France

2 Biometrics and Data Management, Sanofi-Aventis, Mail Stop B-203A, PO Box 6800, 1041 Route 202-206, Bridgewater, NJ 08873, USA

3 Yeast Genomics, Functional Genomics, Sanofi-Aventis,13 Quai Jules Guesde, 94403 Vitry sur Seine Cedex, France

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Genome Biology 2004, 6:P2 doi:10.1186/gb-2004-6-1-p2


This was the first version of this article to be made available publicly.

Published: 8 December 2004

Additional files

Additional data file 1:

A table showing the overlap among different methods for the yeast data

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Additional data file 2:

Additional figure 1

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Additional figure 2

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Additional figure 4

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