Article
A combined data mining approach for infrequent events: analyzing HIV mutation changes based on treatment history.
Computational systems bioinformatics. Computational Systems Bioinformatics Conference - 1 Jan 2006
Lin Ray S, Rhee Soo-Yon, Shafer Robert W, Das Amar K
Abstract excerpt
Many biological databases contain a large number of variables, among which events of interest may be very infrequent. Using a single data mining method to analyze such databases may not find adequate predictors. The HIV Drug Resistance Database at Stanford University stores sequential HIV-1 genotype-test results on patients taking antiretroviral drugs. We have analyzed the infrequent event of gene mutation...
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