16.6: Further Reading, Resources, Bibliography

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Further Reading

• Richard O. Duda, Peter E. Hart, David G. Stork (2001) Pattern classification (2nd edition), Wiley, New York

• See previous chapter for more books and articles.

Resources

• Statistical Pattern Recognition Toolbox for Matlab.

• See previous chapter for more tools

Bibliography

[1] Calvo, S., Jain, M., Xie, X., Sheth, S.A., Chang, B., Goldberger, O.A., Spinaz- zola, A., Zeviani, M., Carr, S.A., and Mootha, V.K. (2006). Systematic identifi- cation of human mitochondrial disease genes through integrative genomics. Nat. Genet. 38, 576582.

[2] Scholokopf, B., et al., 1997. Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing.

[3] Christopher J.C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121–167, 1998.

[4] T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, and C. D. Bloomfield. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286:531–537, 1999.

[5] S. Mukherjee, P. Tamayo, D. Slonim, A. Verri, T. Golub, J. P. Mesirov, and T. Poggio. Support vector machine classification of microarray data. Technical report, AI Memo 1677, Massachusetts Institute of Technology, 1998.

Genes	Rejects	Errors	Confidence level	\|d\|
7129	3	0	93%	0.1
40	0	0	93%	0.1
5	3	0	92%	0.1