Gene expression microarray classification using PCA-BEL

@article{Lotfi2014GeneEM,
  title={Gene expression microarray classification using PCA-BEL},
  author={Ehsan Lotfi and Azita Keshavarz},
  journal={Computers in biology and medicine},
  year={2014},
  volume={54},
  pages={180-7}
}
In this paper, a novel hybrid method is proposed based on Principal Component Analysis (PCA) and Brain Emotional Learning (BEL) network for the classification tasks of gene-expression microarray data. BEL network is a computational neural model of the emotional brain which simulates its neuropsychological features. The distinctive feature of BEL is its low computational complexity which makes it suitable for high dimensional feature vector classification. Thus BEL can be adopted in pattern… CONTINUE READING
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