Ensemble Rough Hypercuboid Approach for Classifying Cancers

@article{Wei2010EnsembleRH,
  title={Ensemble Rough Hypercuboid Approach for Classifying Cancers},
  author={Jin-Mao Wei and Shu-Qin Wang and Xiao-Jie Yuan},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2010},
  volume={22},
  pages={381-391}
}
Cancer classification is the critical basis for patient-tailored therapy. Conventional histological analysis tends to be unreliable because different tumors may have similar appearance. The advances in microarray technology make individualized therapy possible. Various machine learning methods can be employed to classify cancer tissue samples based on microarray data. However, few methods can be elegantly adopted for generating accurate and reliable as well as biologically interpretable rules… CONTINUE READING
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