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Open Access Highly Accessed Methodology article

A novel data mining method to identify assay-specific signatures in functional genomic studies

Derrick K Rollins12*, Dongmei Zhai12, Alrica L Joe1, Jack W Guidarelli1, Abhishek Murarka3 and Ramon Gonzalez13*

Author Affiliations

1 Department of Chemical and Biological Engineering, Iowa State University, Ames, Iowa 50011, USA

2 Department of Statistics, Iowa State University, Ames, Iowa 50011, USA

3 Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77251-1892, USA

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BMC Bioinformatics 2006, 7:377  doi:10.1186/1471-2105-7-377

Published: 14 August 2006

Additional files

Additional File 1:

Human tissue expression data case study. Data sets used in the "human tissue expression data case study".

Format: XLS Size: 2.2MB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional File 2:

Gene signatures for "case studies". Complete gene signatures, including gene names and a brief description of their function, are provided for the "human tissue expression data case study" and "the ethanol response in E. coli case study".

Format: XLS Size: 205KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional File 3:

Ethanol response in E. coli case study. Data sets used in the "ethanol response in E. coli case study".

Format: XLS Size: 1.1MB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data