Rank sum method for related gene selection and its application to tumor diagnosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/BF03184138.pdf
Reference13 articles.
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3. Brown, M. P. S., Grundy, W. N., Lin D. et al., Knowledge-based analysis of microarray gene expression data by using support vector machines, Proc. Nat’l Acad. Sci., 2000, 97(1): 262–267.
4. Dudoit, S., Fridyand, J., Speed T. P., Comparison of discrimination methods for the classification of tumor using gene expression data, Journal of American Statistical Association, 2002, 97(457): 77–87.
5. Furey, T., Cristianini, N., Duffy, N. et al., Support vector machine classification and validation of cancer tissue samples using microarray expression data, Bioinformatics, 2000, 16(10): 909–914.
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