Support Vector Machines - and other kernel-based learning methods
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Support Vector Machines and other kernel-based learning methods
John Shawe-Taylor & Nello Cristianini - Cambridge University Press, 2000 - Ordering Info »

Nello Cristianini

My Bioinformatics Publications

Introduction to Computational Genomics
Nello Cristianini, Matthew Hahn
Cambridge Univeersity Presss - 2006

Support Vector Machine Classification of Microarray Gene Expression Data
(Michael P. S. Brown, William Noble Grundy, David Lin, Nello Cristianini, Charles Sugnet, Manuel Ares, Jr., David Haussler); PNAS -.Proc. Natl. Acad. Sci. USA, vol. 97, pages 262-267 (2000) [PDF]

Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data
(Terry Furey, Nello Cristianini, Nigel Duffy, Michel Schummer, David Bednarski, David Haussler)
Bioinformatics, 16(10): 906-914 (2000) [PDF]

Estimating the tempo and mode of gene family evolution from comparative genomic data
(Matthew W. Hahn, Tijl De Bie, Jason E. Stajich, Chi Nguyen and Nello Cristianini)
Genome Research 15:1153-1160, 2005

The Evolution of Mammalian Gene Families
(Demuth JP, Bie TD, Stajich JE, Cristianini N, Hahn MW.) PLoS ONE. 2006 Dec 20;1(1):e85.

CAFE: a computational tool for the study of gene family evolution Tijl De Bie, Nello Cristianini, Jeffery P. Demuth, and Matthew W. H - Bioinformatics 2006 22(10):1269-1271; doi:10.1093/bioinformatics/btl097

Modeling Sequence Evolution with Kernel Methods M. Bresco, M. Turchi, T. De Bie, N. Cristianini Computational Optimization and Applications – In Press

A Statistical Framework for Genomic Data Fusion, (Lanckriet G., De Bie T., Cristianini N., Jordan M., Stafford Noble W.,) Bioinformatics (to appear: advance access published on May 6, 2004, DOI 10.1093/bioinformatics/bth294). (2004)

Kernel-based Integration of Genomic Data using Semidefinite Programming. (Lanckriet, G.R.G., Cristianini, N., Jordan, M.I., Noble, W.S.) In B. Schoelkopf, K. Tsuda and J.-P. Vert (Eds.), Kernel Methods in Computational Biology: MIT Press. (2004)

Kernel-based Data Fusion and its Application to Protein Function Prediction in Yeast . (Lanckriet, G.R.G., Deng, M., Cristianini, N. , Jordan, M.I., Noble, W.S.) Proceedings of the Pacific Symposium on Biocomputing (PSB). , 2004

Discovering regulatory modules from heterogeneous information sources, De Bie T., Monsieurs P., Engelen K., De Moor B., Cristianini N., Marchal K., To Appear: Proceedings of the Pacific Symposium on Biocomputing (PSB). , 2005