IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v65y2009i4p1087-1095.html
   My bibliography  Save this article

A Bayesian Hidden Markov Model for Motif Discovery Through Joint Modeling of Genomic Sequence and ChIP-Chip Data

Author

Listed:
  • Jonathan A. L. Gelfond
  • Mayetri Gupta
  • Joseph G. Ibrahim

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1087-1095
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01180.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Ming Zheng & Leah O. Barrera & Bing Ren & Ying Nian Wu, 2007. "ChIP-chip: Data, Model, and Analysis," Biometrics, The International Biometric Society, vol. 63(3), pages 787-796, September.
    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. Sunduz Keles & Mark van der Laan & Sandrine Dudoit & Simon Cawley, 2004. "Multiple Testing Methods For ChIP-Chip High Density Oligonucleotide Array Data," U.C. Berkeley Division of Biostatistics Working Paper Series 1147, Berkeley Electronic Press.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    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.
    3. Wang, Dong, 2010. "Modeling epigenetic modifications under multiple treatment conditions," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1179-1189, April.
    4. Bérard Caroline & Martin-Magniette Marie-Laure & Brunaud Véronique & Aubourg Sébastien & Robin Stéphane, 2011. "Unsupervised Classification for Tiling Arrays: ChIP-chip and Transcriptome," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-22, November.
    5. 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.
    6. Hongkai Ji & Wing Hung Wong, 2006. "Computational Biology: Toward Deciphering Gene Regulatory Information in Mammalian Genomes," Biometrics, The International Biometric Society, vol. 62(3), pages 645-663, September.
    7. 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.
    8. 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.
    9. Christopher G Bell & Sarah Finer & Cecilia M Lindgren & Gareth A Wilson & Vardhman K Rakyan & Andrew E Teschendorff & Pelin Akan & Elia Stupka & Thomas A Down & Inga Prokopenko & Ian M Morison & Jonat, 2010. "Integrated Genetic and Epigenetic Analysis Identifies Haplotype-Specific Methylation in the FTO Type 2 Diabetes and Obesity Susceptibility Locus," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-12, November.
    10. 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.
    11. Olbricht Gayla R. & Craig Bruce A. & Doerge Rebecca W., 2012. "Incorporating Genomic Annotation into a Hidden Markov Model for DNA Methylation Tiling Array Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(5), pages 1-37, November.
    12. Anat Reiner-Benaim, 2016. "Scan Statistic Tail Probability Assessment Based on Process Covariance and Window Size," Methodology and Computing in Applied Probability, Springer, vol. 18(3), pages 717-745, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1087-1095. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.