Browsing by Subject "small sample"
Now showing items 1-2 of 2
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(Texas A&M University, 2004-11-15)Given a limited number of samples for classification, several issues arise with respect to design, performance and analysis of classifiers. This is especially so in the case of microarray-based classification. In this ...
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(Texas A&M University, 2007-09-17)High-throughput technologies for rapid measurement of vast numbers of biolog- ical variables offer the potential for highly discriminatory diagnosis and prognosis; however, high dimensionality together with small samples ...