Microarray data classification using automatic SVM kernel selection.

@article{Nahar2007MicroarrayDC,
  title={Microarray data classification using automatic SVM kernel selection.},
  author={Jesmin Nahar and Shawkat Ali and Yi-Ping Phoebe Chen},
  journal={DNA and cell biology},
  year={2007},
  volume={26 10},
  pages={707-12}
}
Microarray data classification is one of the most important emerging clinical applications in the medical community. Machine learning algorithms are most frequently used to complete this task. We selected one of the state-of-the-art kernel-based algorithms, the support vector machine (SVM), to classify microarray data. As a large number of kernels are available, a significant research question is what is the best kernel for patient diagnosis based on microarray data classification using SVM? We… CONTINUE READING
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