Signi�cance �ests inMoti� �haracteri�ation and Prediction

@inproceedings{Xia2014SignicanceI,
  title={Signi�cance �ests inMoti� �haracteri�ation and Prediction},
  author={Xuhua Xia},
  year={2014}
}
Position weight matrix (PWM) is not only one of the most widely used bioinformatic methods, but also a key component in more advanced computational algorithms (e.g., Gibbs sampler) for characterizing and discovering motifs in nucleotide or amino acid sequences. However, few generally applicable statistical tests are available for evaluating the signi�cance of site patterns, PWM, and PWM scores (PWMS) of putative motifs. Statistical signi�cance tests of the PWM output, that is, site-speci�c… CONTINUE READING

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