Discovering High-Order Patterns of Gene Expression Levels

@article{Wong2008DiscoveringHP,
  title={Discovering High-Order Patterns of Gene Expression Levels},
  author={A. Wong and W. Au and K. Chan},
  journal={Journal of computational biology : a journal of computational molecular cell biology},
  year={2008},
  volume={15 6},
  pages={
          625-37
        }
}
  • A. Wong, W. Au, K. Chan
  • Published 2008
  • Medicine, Biology, Computer Science
  • Journal of computational biology : a journal of computational molecular cell biology
  • This paper reports the discovery of statistically significant association patterns of gene expression levels from microarray data. By association patterns, we mean certain gene expression intensity intervals having statistically significant associations among themselves and with the tissue classes, such as cancerous and normal tissues. We describe how the significance of the associations among gene expression levels can be evaluated using a statistical measure in an objective manner. If an… CONTINUE READING

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