Association for Computing Machinery's ACM transactions on information systems (January) PDF

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Ng, M. C. Sleumer, and M. S. ca; S. J. ca. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or direct commercial advantage and that copies show this notice on the first page or initial screen of a display along with the full citation. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any component of this work in other works requires prior specific permission and/or a fee.

2003a. DNA sequence compression using the normalized maximum likelihood model for discrete regression. In Proceedings of the Data Compression Conference. 253–262. , AND ASTOLA, J. 2003b. Classification and feature gene selection using the normalized maximum likelihood model for discrete regression. Signal Processing, Special Issue on Genomic Signal Processing 83, 4 (April), 713–727. WILBUR, W. AND LIPMAN, D. 1983. Rapid similarity searches of nucleic acid and protein data banks. In Proc. Natl. Acad.

2001]. Most approaches simply apply the software package from the Eisen lab. Porter et al. [2001] clustered both genes and libraries of 8 normal and cancerous breast tissues, finding differences in the variability of gene expressions in normal and cancerous cells. Nacht et al. [2001], clustered 9 normal and cancerous lung tissues, and showed that normal and cancer could be separated based even on only the 115 most abundant tags. Van Ruissen et al. [2002] used two-way clustering of both libraries and genes of different skin tissues, finding two clusters of genes that are up-regulated in cancerous tissue.

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ACM transactions on information systems (January) by Association for Computing Machinery

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