Skip Nav Destination
ASME Press Select Proceedings
International Conference on Software Technology and Engineering (ICSTE 2012)
Editor
ISBN:
9780791860151
No. of Pages:
680
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
24 An Implemenation of Mixed Integer Programming Model for Gene Selection in Cancer Classification Using Microary Data
Page Count:
6
-
Published:2012
Citation
Shenbaga Ezhil, S, & Vijayalakshmi, C. "An Implemenation of Mixed Integer Programming Model for Gene Selection in Cancer Classification Using Microary Data." International Conference on Software Technology and Engineering (ICSTE 2012). Ed. Zhou, J. ASME Press, 2012.
Download citation file:
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
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Hybrid GA∕IA Method for Multiobjective Nonlinear Integer Programming Problems
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Scheduling of the Thai Premier League by Integer Programming
International Conference on Computer Research and Development, 5th (ICCRD 2013)
Performance Validation Using Several Statistical Learning Theory Paradigms for Mammogram Screen Film and Clinical Data Features
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Anti-cancer PDT
Photodynamic Therapy Mediated by Fullerenes and their Derivatives
Related Articles
Optimal Allocation of Lift-Gas Rates Under Multiple Facility Constraints: A Mixed Integer Linear Programming Approach
J. Energy Resour. Technol (December,2006)
Integrating Reconfiguration Cost Into the Design of Multi-Period Scalable Reconfigurable Manufacturing Systems
J. Manuf. Sci. Eng (February,2007)