Gene selection and classification for cancer microarray data based on machine learning and similarity measures

@inproceedings{Liu2011GeneSA,
  title={Gene selection and classification for cancer microarray data based on machine learning and similarity measures},
  author={Qingzhong Liu and Andrew H. Sung and Zhongxue Chen and Jianzhong Liu and Lei Chen and Mengyu Qiao and Zhaohui Wang and Xudong Huang and Youping Deng},
  booktitle={BMC Genomics},
  year={2011}
}
Microarray data have a high dimension of variables and a small sample size. In microarray data analyses, two important issues are how to choose genes, which provide reliable and good prediction for disease status, and how to determine the final gene set that is best for classification. Associations among genetic markers mean one can exploit information… CONTINUE READING

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