Genome Biology

official impact factor 6.89

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A method for high-throughput gene expression signature analysis

David Peck1, Emily D Crawford1, Kenneth N Ross1, Kimberly Stegmaier2, Todd R Golub1,2,3 and Justin Lamb1*

Author Affiliations

1 Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA

2 Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA

3 Howard Hughes Medical Institute, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA

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Genome Biology 2006, 7:R61 doi:10.1186/gb-2006-7-7-r61

Published: 19 July 2006

Additional files

Additional data file 1:

The genes populating the representative gene space

Format: XLS Size: 41KB Download file

This file can be viewed with: Microsoft Excel Viewer

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Additional data file 2:

The LMF probe sequences

Format: XLS Size: 58KB Download file

This file can be viewed with: Microsoft Excel Viewer

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Additional data file 3:

A mapping of bead number to capture probe sequence

Format: XLS Size: 35KB Download file

This file can be viewed with: Microsoft Excel Viewer

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Additional data file 4:

A document containing the Affymetrix data used to select the representative gene space

Format: RES Size: 6.5MB Download file

Open Data

Additional data file 5:

A document containing raw LMF data used to assess the reproducibility of the method and for comparisons between platforms

Format: TXT Size: 11KB Download file

Open Data

Additional data file 6:

A document containing raw LMF data used to assess the stability of the LMF method

Format: TXT Size: 11KB Download file

Open Data

Additional data file 7:

A document containing raw LMF data used to assess the stability of the LMF method

Format: TXT Size: 11KB Download file

Open Data

Additional data file 8:

A document containing raw LMF data from the analysis of the microtiter cultures, which were used in the classification exercise

Format: TXT Size: 45KB Download file

Open Data