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Mixture Modeling for Genome-Wide Localization of Transcription Factors

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  • Sündüz Keleş

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  • Sündüz Keleş, 2007. "Mixture Modeling for Genome-Wide Localization of Transcription Factors," Biometrics, The International Biometric Society, vol. 63(1), pages 10-21, March.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:1:p:10-21
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00659.x
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    References listed on IDEAS

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    1. Raphael Gottardo & Adrian E. Raftery & Ka Yee Yeung & Roger E. Bumgarner, 2006. "Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples," Biometrics, The International Biometric Society, vol. 62(1), pages 10-18, March.
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    Cited by:

    1. 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.
    2. Sol Efroni & Liran Carmel & Carl G Schaefer & Kenneth H Buetow, 2008. "Superposition of Transcriptional Behaviors Determines Gene State," PLOS ONE, Public Library of Science, vol. 3(8), pages 1-6, August.
    3. 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.
    4. Alexander Kofi Preko, 2017. "Analysis of Social Cognitive Model in the Context of Green Marketing: A Study of the Ghanaian Environment," Business Perspectives and Research, , vol. 5(1), pages 86-99, January.
    5. 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.
    6. Jonathan A. L. Gelfond & Mayetri Gupta & Joseph G. Ibrahim, 2009. "A Bayesian Hidden Markov Model for Motif Discovery Through Joint Modeling of Genomic Sequence and ChIP-Chip Data," Biometrics, The International Biometric Society, vol. 65(4), pages 1087-1095, December.

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