Open Access Highly Accessed Methodology article

Integrated analysis of gene expression by association rules discovery

Pedro Carmona-Saez1, Monica Chagoyen1, Andres Rodriguez2, Oswaldo Trelles2, Jose M Carazo1 and Alberto Pascual-Montano3*

Author Affiliations

1 BioComputing Unit, National Center for Biotechnology (CNB-CSIC), Cantoblanco, 28049, Madrid, Spain

2 Computer Architecture Department, Universidad de Málaga, 29080, Málaga, Spain

3 Computer Architecture and System Engineering Department, Facultad de CC Físicas, Universidad Complutense de Madrid, 28040, Madrid, Spain

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BMC Bioinformatics 2006, 7:54  doi:10.1186/1471-2105-7-54

Published: 7 February 2006

Additional files

Additional File 1:

Association rules from the diauxic shift dataset Excel file containing the set of rules obtained before and after filtering from the three analyses of the diauxic shift dataset.

Format: XLS Size: 84KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional File 2:

Association rules from the serum stimulation dataset Excel file containing the set of rules obtained before and after filtering from the two analyses of the serum stimulation dataset

Format: XLS Size: 59KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data