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PICS: Probabilistic Inference for ChIP-seq

Author

Listed:
  • Xuekui Zhang
  • Gordon Robertson
  • Martin Krzywinski
  • Kaida Ning
  • Arnaud Droit
  • Steven Jones
  • Raphael Gottardo

Abstract

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Suggested Citation

  • Xuekui Zhang & Gordon Robertson & Martin Krzywinski & Kaida Ning & Arnaud Droit & Steven Jones & Raphael Gottardo, 2011. "PICS: Probabilistic Inference for ChIP-seq," Biometrics, The International Biometric Society, vol. 67(1), pages 151-163, March.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:1:p:151-163
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01441.x
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    References listed on IDEAS

    as
    1. Chris Fraley & Adrian E. Raftery, 2007. "Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering," Journal of Classification, Springer;The Classification Society, vol. 24(2), pages 155-181, September.
    2. Raphael Gottardo & Wei Li & W. Evan Johnson & X. Shirley Liu, 2008. "A Flexible and Powerful Bayesian Hierarchical Model for ChIP–Chip Experiments," Biometrics, The International Biometric Society, vol. 64(2), pages 468-478, June.
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    Cited by:

    1. Dongjun Chung & Dan Park & Kevin Myers & Jeffrey Grass & Patricia Kiley & Robert Landick & Sündüz Keleş, 2013. "dPeak: High Resolution Identification of Transcription Factor Binding Sites from PET and SET ChIP-Seq Data," PLOS Computational Biology, Public Library of Science, vol. 9(10), pages 1-13, October.
    2. Samb Rawane & Khadraoui Khader & Belleau Pascal & Deschênes Astrid & Lakhal-Chaieb Lajmi & Droit Arnaud, 2015. "Using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(6), pages 517-532, December.
    3. Ben Li & Yunxiao Li & Zhaohui S. Qin, 2017. "Improving Hierarchical Models Using Historical Data with Applications in High-Throughput Genomics Data Analysis," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(1), pages 73-90, June.

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