Information Systems

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In this result the clusters are more prominent and all of them except one are pure in terms of tissue type and neoplastic state. r Eight dense clusters formed: ovarian cancer cell line, brain cancer cell line, brain cancer bulk tissue, prostate tissue, pancreatic cancer, breast cancer cell line, normal brain, and normal breast bulk tissue. r For the soundness of our cluster analysis method for heterogeneous SAGE libraries, it is important to validate that the libraries do not form clusters by laboratories alone.

AND LIPMAN, D. 1983. Rapid similarity searches of nucleic acid and protein data banks. In Proc. Natl. Acad. Sci. USA. Vol. 80. 726–730. WILLIAMS, H. AND ZOBEL, J. 1997. Compression of nucleotide databases for fast searching. Computer Applications in the Biosciences 13, 5, 549–554. ZIV, J. AND LEMPEL, A. 1977. A universal algorithm for sequential data compression. IEEE Trans. Inform. Theory 23, 3, 337–343. Received October 2003; revised June 2004; accepted August 2004 ACM Transactions on Information Systems, Vol.

In Proc. Natl. Acad. Sci. USA. Vol. 80. 726–730. WILLIAMS, H. AND ZOBEL, J. 1997. Compression of nucleotide databases for fast searching. Computer Applications in the Biosciences 13, 5, 549–554. ZIV, J. AND LEMPEL, A. 1977. A universal algorithm for sequential data compression. IEEE Trans. Inform. Theory 23, 3, 337–343. Received October 2003; revised June 2004; accepted August 2004 ACM Transactions on Information Systems, Vol. 23, No. 1, January 2005. A Methodology for Analyzing SAGE Libraries for Cancer Profiling ¨ JORG SANDER University of Alberta RAYMOND T.

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