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Bayesian hidden Markov models to identify RNA–protein interaction sites in PAR-CLIP

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  • Jonghyun Yun
  • Tao Wang
  • Guanghua Xiao

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  • Jonghyun Yun & Tao Wang & Guanghua Xiao, 2014. "Bayesian hidden Markov models to identify RNA–protein interaction sites in PAR-CLIP," Biometrics, The International Biometric Society, vol. 70(2), pages 430-440, June.
    • Handle: RePEc:bla:biomet:v:70:y:2014:i:2:p:430-440
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    File URL: http://hdl.handle.net/10.1111/biom.12147
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    References listed on IDEAS

    as
    1. Sündüz Keleş, 2007. "Mixture Modeling for Genome-Wide Localization of Transcription Factors," Biometrics, The International Biometric Society, vol. 63(1), pages 10-21, March.
    2. Guha, Subharup & Li, Yi & Neuberg, Donna, 2008. "Bayesian Hidden Markov Modeling of Array CGH Data," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 485-497, June.
    3. Qianxing Mo & Faming Liang, 2010. "Bayesian Modeling of ChIP-chip Data Through a High-Order Ising Model," Biometrics, The International Biometric Society, vol. 66(4), pages 1284-1294, December.
    4. Daniel B. Hall, 2000. "Zero-Inflated Poisson and Binomial Regression with Random Effects: A Case Study," Biometrics, The International Biometric Society, vol. 56(4), pages 1030-1039, December.
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