Pattern recognition methods in microarray based oncology study

Abstract

With the development of microarray technology, more and more microarray-based oncology studies have been carried out. Huge amounts of data and the complexity of cancer mechanisms make data analysis methods a much more important part of these studies. In this article, we will mainly focus on the pattern recognition methods used in oncology studies. According to the availability of sample information, the unsupervised methods and supervised methods are reviewed separately. Finally, some possible future directions are proposed.

Keywords

pattern recognition methods / microarray / oncology

References

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 60575014, 30625012 and 60721003), and National High-tech R&D Program (No. 2006AA02Z325).

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg