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ASME Press Select Proceedings

International Conference on Software Technology and Engineering (ICSTE 2012)

Editor
Jianhong Zhou
Jianhong Zhou
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ISBN:
9780791860151
No. of Pages:
680
Publisher:
ASME Press
Publication date:
2012

In gene selection for cancer classification using microarray data, we define a mixed integer optimization model which is applied with the aim of selecting a small subset of cancer marker genes. Gene expression profiling has been successfully use to identity potential cancer diagnosis and therapeutic target in the past few years. Since there are often large number of potential genes, an important issue is to find a small subset of genes that are differentially expressed between different clinical outcomes (or) related subset to cancer patients survival time, and thus can be used to build prognosis and predictors. The study of...

1. Introduction
2. Mathematical Model of Mixed Integer Programming in Gene Selection
3. Gene Selection for Microarray Data Sets
4. Experimental Illustration
5. Conclusion
References
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