BMC Bioinformatics

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Open Access Highly Access Methodology article

A factor model to analyze heterogeneity in gene expression

Yuna Blum1,2,3*, Guillaume Le Mignon1,2, Sandrine Lagarrigue1,2 and David Causeur3

Author Affiliations

1 Agrocampus Ouest, UMR598, Animal Genetics, 35000 Rennes, France

2 INRA, UMR598, Animal Genetics, 35000 Rennes, France

3 Agrocampus Ouest, Applied Mathematics Department, 35000 Rennes, France

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BMC Bioinformatics 2010, 11:368 doi:10.1186/1471-2105-11-368

Published: 2 July 2010

Additional files

Additional file 1:

Student test for each level of the variable "hatch". Student tests were performed for the levels of the variable "hatch" in order to test their effect on each factor. The crossed out column concern factors for which the global hatch effect were not significant using the Fisher test.

Format: PNG Size: 19KB Download file

Open Data

Additional file 2:

Real data set: genes representation for each factor. The genes are represented on the factor using the Z matrix of the factors found by FAMT.

Format: PNG Size: 14KB Download file

Open Data