Applying Data Mining Techniques for Cancer Classification from Gene Expression Data

@article{Yeh2007ApplyingDM,
  title={Applying Data Mining Techniques for Cancer Classification from Gene Expression Data},
  author={Jinn-Yi Yeh},
  journal={2007 International Conference on Convergence Information Technology (ICCIT 2007)},
  year={2007},
  pages={703-708}
}
Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. It makes accurate classification of data more difficult. This paper… CONTINUE READING

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References

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Cancer classification using gene expression data

Inf. Syst. • 2003
View 4 Excerpts
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Applying data mining techniques for cancer classification from gene expression data

J. Y. Yeh, T. H. Wu, M. C. Wu, D. M. Chang
2007 International Conference on Convergence Information Technology, Gyeongju, Republic of Korea. • 2007
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