The p53HMM algorithm: using profile hidden markov models to detect p53-responsive genes

@article{Riley2008ThePA,
  title={The p53HMM algorithm: using profile hidden markov models to detect p53-responsive genes},
  author={Todd Riley and Xin Yu and Eduardo D. Sontag and Arnold Levine},
  journal={BMC Bioinformatics},
  year={2008},
  volume={10},
  pages={111 - 111}
}
A computational method (called p53HMM) is presented that utilizes Profile Hidden Markov Models (PHMMs) to estimate the relative binding affinities of putative p53 response elements (REs), both p53 single-sites and cluster-sites. These models incorporate a novel "Corresponded Baum-Welch" training algorithm that provides increased predictive power by exploiting the redundancy of information found in the repeated, palindromic p53-binding motif. The predictive accuracy of these new models are… CONTINUE READING
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Transcriptional control of human p 53 - regulated genes

  • A Krogh, M Brown, IS Mian, K Sjölander, D Haussler
  • Nat Rev Mol Cell Biol
  • 2008

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