A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis

@inproceedings{Bennet2014ADW,
  title={A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis},
  author={Jaison Bennet and Chilambuchelvan Arul Ganaprakasam and Kannan Arputharaj},
  booktitle={TheScientificWorldJournal},
  year={2014}
}
Cancer classification by doctors and radiologists was based on morphological and clinical features and had limited diagnostic ability in olden days. The recent arrival of DNA microarray technology has led to the concurrent monitoring of thousands of gene expressions in a single chip which stimulates the progress in cancer classification. In this paper, we have proposed a hybrid approach for microarray data classification based on nearest neighbor (KNN), naive Bayes, and support vector machine… CONTINUE READING