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References
Ben-Dor A., Friedman N., Yakhini Z. (2000). Scoring genes for relevance. Tech Report AGL-2000-13, Agilent Labs, Agilent Technologies.
Bittner M., Chen Y. (2001). Statistical methods; Identification of differentially expressed genes by weighted gene analysis. Available at http://www.nejm.org/general/content/supplemental/hedenfalk/index.html.
Breiman L., Friedman J.H., Olshen R.A., Stone C.J. (1984), Classification and Regression Trees. Wadsworth.
Ge N., Huang F., Shaw P., Wu C.F.J. PIDEX: A statistical approach for screening differentially expressed genes using microarray analysis (unpublished manuscript).
Hedenfalk I., Duggan D., Chen Y., Radmacher M., Bittner M., Simon R., Meltzer P., Gusterson B., Esteller M., Kallioniemi O.P., Wilfond B., Borg A., Trent J. (2001). Gene-expression profiles in hereditary breast cancer. N Engl J Med 344(8): 539–548.
Ji Y., Kim K. Identification of gene sets from cDNA microarrays using classification trees (unpublished manuscript).
Kim H., Loh W.-Y. (2001). Classification trees with unbiased multiway splits. J. American Statistical Association 96:589–604.
Landis S.H., Murray T., Bolden S., Wingo P.A. (1999). Cancer Statistics, 1999. CA Cancer J Clin 49(1):8–31.
Loh W.-Y., and Shih, Y.-S. (1997). Split selection methods for classification trees. Statistica Sinica 7:815–840.
Radmacher M.D., Simon R. Statistical methods: Generating gene lists with permutation F and t Tests. Available at http://www.nejm.org/general/content/supplemental/hedenfalk/index.html.
Reggia J.A., Tuhrim S. (1985). An overview of methods for computer assisted medical decision making, in Computer-Assisted Medical Decision Making, Vol. 1, J.A. Reggia & S. Tuhrim, eds. Springer-Verlag, New York.
Shyr Y. (2002). Analysis and interpretation of array data in human lung cancer using statistical class-prediction model. AACR meeting April, 2002; San Francisco, CA: Program/Proceeding Supplement, 41–42.
Tukey J.W. (1993). Tightening the clinical trial. Control Clin Trials 14(4): 266–285.
Tusher V.G., Tibshirani R., Chu G. (2001). Significance analysis of microarays applied to the ionizing radiation response, Proc Natl Acad Sci USA 98(9): 5116–5121
Wolfinger R.D., Gibson G., Wolfinger E.D. (2001). Assessing gene significance from cDNA microarray expression data via mixed models. J Comput Biol 8(6): 625–37.
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Shyr, Y., Kim, K. (2003). Weighted Flexible Compound Covariate Method for Classifying Microarray Data. In: Berrar, D.P., Dubitzky, W., Granzow, M. (eds) A Practical Approach to Microarray Data Analysis. Springer, Boston, MA. https://doi.org/10.1007/0-306-47815-3_10
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DOI: https://doi.org/10.1007/0-306-47815-3_10
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