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Open AccessHighly AccessMethodology article

Integrated analysis of gene expression by association rules discovery

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

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

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

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

author email corresponding author email

BMC Bioinformatics 2006, 7:54doi: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

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


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