Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection

@inproceedings{Yap2007LearningCM,
  title={Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection},
  author={Ghim-Eng Yap and Ah-Hwee Tan and HweeHwa Pang},
  booktitle={AAAI},
  year={2007}
}
Undetected errors in the expression measurements from highthroughput DNA microarrays and protein spectroscopy could seriously affect the diagnostic reliability in disease detection. In addition to a high resilience against such errors, diagnostic models need to be more comprehensible so that a deeper understanding of the causal interactions among biological entities like genes and proteins may be possible. In this paper, we introduce a robust knowledge discovery approach that addresses these… CONTINUE READING

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