A method for high-throughput gene expression signature analysis
-
* Corresponding author: Justin Lamb justin@broad.mit.edu
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
Genome Biology 2006, 7:R61 doi:10.1186/gb-2006-7-7-r61
Published: 19 July 2006Additional 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
Additional data file 2:
The LMF probe sequences
Format: XLS Size: 58KB Download file
This file can be viewed with: Microsoft Excel Viewer
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
Additional data file 4:
A document containing the Affymetrix data used to select the representative gene space
Format: RES Size: 6.5MB Download file
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
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
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
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
