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Boolean implication networks derived from large scale, whole genome microarray datasets

Debashis Sahoo1, David L Dill2*, Andrew J Gentles3, Robert Tibshirani4 and Sylvia K Plevritis3

Author Affiliations

1 Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA

2 Department of Computer Science, Stanford University, Stanford, CA 94305, USA

3 Department of Radiology, Stanford University, Stanford, CA 94305, USA

4 Department of Health Research and Policy and Department of Statistics, Stanford University, Stanford, CA 94305, USA

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Genome Biology 2008, 9:R157  doi:10.1186/gb-2008-9-10-r157

Published: 30 October 2008

Additional files

Additional data file 1:

Log-log plot of the histogram of probesets with respect to their number of Boolean implications in the human, mouse and fruit fly datasets.

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Additional data file 2:

Each line is a tab separated HUGO gene symbol name.

Format: TXT Size: 1KB Download file

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Additional data file 3:

GO analysis on the largest cluster.

Format: TXT Size: 24KB Download file

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Additional data file 4:

GO analysis on the second largest cluster.

Format: TXT Size: 3KB Download file

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Additional data file 5:

DAVID functional annotation analysis using KEGG pathway and on the largest cluster.

Format: TXT Size: 1KB Download file

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Additional data file 6:

DAVID functional annotation analysis using KEGG pathways and on the second largest cluster.

Format: TXT Size: 1KB Download file

Open Data