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ORCIDShuang Song 0006
Person information
- affiliation: Tsinghua University, Department of Industrial Engineering, Center for Statistical Science, Beijing, China
Other persons with the same name
- Shuang Song — disambiguation page
- Shuang Song 0001 — Google Research, Brain (and 1 more)
- Shuang Song 0002
![[0000-0002-3490-9752]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3490-9752")
— Harbin Institute of Technology, School of Mechanical Engineering and Automation, Shenzhen, China - Shuang Song 0003 — imec, Heverlee, Belgium
- Shuang Song 0004 — Hokkaido University, Sapporo, Japan
- Shuang Song 0005 — Beijing Institute of Technology, School of Optics and Photonics, China
- Shuang Song 0007 — University of Texas at Austin, TX, USA
- Shuang Song 0008 — National University of Singapore, Singapore
- Shuang Song 0009 — Tsinghua University, Dept. of Mechanical Engineering, Beijing, China
- Shuang Song 0010 — Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Geospatial Data Analytics Laboratory, Columbus, OH, USA
- Shuang Song 0011 — University of Chinese Academy of Sciences, School of Engineering Sciences, Beijing, China (and 1 more)
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2020 – today
- 2022
[j6]Shuang Song, Lin Hou, Jun S. Liu:
A data-adaptive Bayesian regression approach for polygenic risk prediction. Bioinform. 38(7): 1938-1946 (2022)- [j5]Shuang Song, Lin Hou, Jun S. Liu:
Erratum to: A data-adaptive Bayesian regression approach for polygenic risk prediction. Bioinform. 38(7): 2080 (2022) - [j4]Wei Jiang, Xiangyu Zhang, Siting Li, Shuang Song, Hongyu Zhao:
An unbiased kinship estimation method for genetic data analysis. BMC Bioinform. 23(1): 525 (2022) - [j3]Xiaoyang Chen, Shengquan Chen, Shuang Song, Zijing Gao, Lin Hou, Xuegong Zhang, Hairong Lv, Rui Jiang:
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding. Nat. Mach. Intell. 4(2): 116-126 (2022) - 2021
- [j2]Shuang Song, Nayang Shan, Geng Wang, Xiting Yan, Jun S. Liu, Lin Hou:
Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants. Bioinform. 37(24): 4737-4743 (2021) - 2020
- [j1]Shuang Song, Wei Jiang, Lin Hou, Hongyu Zhao:
Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies. PLoS Comput. Biol. 16(2) (2020)
Coauthor Index
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