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Clustering analysis of SAGE data using a Poisson approach

Li Cai1, Haiyan Huang25, Seth Blackshaw36, Jun S Liu4, Connie Cepko3 and Wing H Wong24*

Author Affiliations

1 Department of Research Computing, Dana-Farber Cancer Institute, 44 Binney Street, Boston, MA 02115, USA

2 Department of Biostatistics, Harvard School of Public Health, 66 Huntington Avenue, Boston, MA 02115, USA

3 Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA

4 Department of Statistics, Harvard University, Science Center, 1 Oxford Street, Cambridge, MA 02138, USA

5 Current address: Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, CA 94720, USA

6 Current address: Department of Neuroscience, Johns Hopkins University School of Medicine, 773 N Broadway Ave, Baltimore, MD 21287, USA

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Genome Biology 2004, 5:R51  doi:10.1186/gb-2004-5-7-r51

Published: 29 June 2004

Additional files

Additional data file 1:

Further details for Figure 2 and Table 2 and a list of 28, 67, 12, and 17 members of the photoreceptor clusters generated by PoissonC, PearsonC, Eucli, and Eucli on normalized data, respectively

Format: XLS Size: 37KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional data file 2:

Additional data for Table 3 and a list of the 34 'cell-specific' mouse SAGE tags

Format: XLS Size: 23KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data