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ORCIDDanny S. Park
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Books and Theses
- 2017
[b1]Danny S. Park:
New Computational Approaches for Analyzing Admixed Populations. University of California, San Francisco, USA, 2017
Journal Articles
- 2020
- [j3]Joel Mefford, Danny S. Park, Zhili Zheng, Arthur Ko, Mika Ala-Korpela
, Markku Laakso, Päivi Pajukanta, Jian Yang, John S. Witte, Noah Zaitlen:
Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models. J. Comput. Biol. 27(4): 599-612 (2020) - 2015
- [j2]Danny S. Park, Brielin Brown, Celeste Eng, Scott Huntsman, Donglei Hu, Dara G. Torgerson, Esteban Gonzàlez Burchard, Noah Zaitlen:
Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses. Bioinform. 31(12): 181-189 (2015) - [j1]Danny S. Park, Yael Baran, Farhad Hormozdiari, Celeste Eng, Dara G. Torgerson, Esteban Gonzàlez Burchard, Noah Zaitlen:
PIGS: improved estimates of identity-by-descent probabilities by probabilistic IBD graph sampling. BMC Bioinform. 16(S-5): S9 (2015)
Conference and Workshop Papers
- 2019
- [c1]Joel Mefford, Danny S. Park, Zhili Zheng, Arthur Ko, Mika Ala-Korpela, Markku Laakso, Paivi Pajukanta, Jian Yang, John S. Witte, Noah Zaitlen:
Efficient Estimation and Applications of Cross-Validated Genetic Predictions. RECOMB 2019: 308-310
Coauthor Index
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