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Multple-trait Bayesian Regression Methods with Mixture Priors for Genomic Prediction

Hao Cheng, Kadir Kizilkaya, Jian Zeng, Dorian Garrick, Rohan Fernando
doi: https://doi.org/10.1101/102962

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doi 
https://doi.org/10.1101/102962
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  • January 25, 2017.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Hao Cheng*,**,1,
  2. Kadir Kizilkaya†,
  3. Jian Zeng‡,
  4. Dorian Garrick§ and
  5. Rohan Fernando*
  1. *Department of Animal Science, Iowa State University, Ames, Iowa
  2. **Department of Statistics, Iowa State University, Ames, Iowa
  3. †Department of Animal Science, Adnan Menderes University, Aydin, Turkey
  4. ‡Program in Complex Trait Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Australia
  5. §Institute of Veterinary, Animal, and Biomedical Science, Massey University, Palmerston North, NewZealand
  1. ↵1 Department of Animal Science, Iowa State University, Ames, Iowa
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Posted January 25, 2017.
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Multple-trait Bayesian Regression Methods with Mixture Priors for Genomic Prediction
Hao Cheng, Kadir Kizilkaya, Jian Zeng, Dorian Garrick, Rohan Fernando
bioRxiv 102962; doi: https://doi.org/10.1101/102962
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