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Clustering analysis of SAGE data using a Poisson approach

Li Cai1* email, Haiyan Huang2,5* email, Seth Blackshaw3,6, Jun S Liu4, Connie Cepko3 and Wing H Wong2,4 email

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

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

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

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

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

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

author email corresponding author email* Contributed equally

Genome Biology 2004, 5:R51doi:10.1186/gb-2004-5-7-r51

Published: 29 June 2004

Subject areas: Bioinformatics, Methods, Genome studies, Neurobiology


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

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


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