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Research Article

Bayesian Inference of Spatial Organizations of Chromosomes

  • Ming Hu,

    Affiliation: Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America

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  • Ke Deng,

    Affiliation: Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America

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  • Zhaohui Qin,

    Affiliation: Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America

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  • Jesse Dixon,

    Affiliations: Ludwig Institute for Cancer Research, La Jolla, California, United States of America, Medical Scientist Training Program, University of California, San Diego, La Jolla, California, United States of America, Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, California, United States of America

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  • Siddarth Selvaraj,

    Affiliations: Ludwig Institute for Cancer Research, La Jolla, California, United States of America, Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, California, United States of America

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  • Jennifer Fang,

    Affiliation: Ludwig Institute for Cancer Research, La Jolla, California, United States of America

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  • Bing Ren,

    Affiliations: Ludwig Institute for Cancer Research, La Jolla, California, United States of America, University of California, San Diego School of Medicine, Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, UCSD Moores Cancer Center, La Jolla, California, United States of America

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  • Jun S. Liu mail

    jliu@stat.harvard.edu

    Affiliation: Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America

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  • Published: January 31, 2013
  • DOI: 10.1371/journal.pcbi.1002893

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