Supporting Online Material


The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
Justin Lamb, Emily D. Crawford, David Peck, Joshua W. Modell, Irene C. Blat, Matthew J. Wrobel, Jim Lerner,1 Jean-Philippe Brunet, Aravind Subramanian, Kenneth N. Ross, Michael Reich, Haley Hieronymus, Guo Wei, Scott A. Armstrong, Stephen J. Haggarty, Paul A. Clemons, Ru Wei, Steven A. Carr, Eric S. Lander, Todd R. Golub

Supporting Online Material

This supplement contains:
Materials and Methods
Figs. S1 to S5
References

This file is in Adobe Acrobat PDF format.

Other Supporting Online Material for this manuscript includes the following:
Table S1
Signatures S1 to S11
Results S1 to S11

Table S1, Signatures S1 to S11, Results S1 to S11. Data table in Excel format, signature files in Excel format, and results files in plain text format; detailed descriptions can be found in README.pdf, enclosed. (All files packaged as a single compressed archive, in *.zip format; users should download the compressed file to their machine and decompress the file on their local hard drive, using the instructions below):

1132939s.zip (0.2 MB)


Instructions for downloading and decompressing files:

  1. Create a temporary folder on your machine's hard drive.
  2. Save the compressed archive to the temporary folder you created, using the links above.
  3. Decompress the compressed file in the temporary folder using decompression software such as WinZip (Windows; www.winzip.com) or StuffIt Expander (Windows and Mac; www.stuffit.com).
  4. Excel files can be opened and viewed using Microsoft Excel, the spreadsheet module of the freely downloadable Open Office suite, or the freely downloadable Excel Viewer available from Microsoft. PDF files can be opened using the Adobe Acrobat reader. Text files can be opened with any text editor, word processor, or Web browser.