Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares

@inproceedings{Li2006GeneFE,
  title={Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares},
  author={Shutao Li and Chen Liao and James T. Kwok},
  booktitle={ICONIP},
  year={2006}
}
In this paper, we propose a gene extraction method by using two standard feature extraction methods, namely the T-test method and kernel partial least squares (KPLS), in tandem. First, a preprocessing step based on the T-test method is used to filter irrelevant and noisy genes. KPLS is then used to extract features with high information content. Finally, the extracted features are fed into a classifier. Experiments are performed on three benchmark datasets: breast cancer, ALL/AML leukemia and… CONTINUE READING
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