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16.6: Further Reading, Resources, Bibliography

  • Page ID
    41013
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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

    This page titled 16.6: Further Reading, Resources, Bibliography is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Manolis Kellis et al. (MIT OpenCourseWare) via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.