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Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with multiple exponential functions
Ying Zhou, Kai Yuan, Yaoliang Yu, Xumin Ni, Pengtao Xie, Eric P. Xing, Shuhua Xu
doi: https://doi.org/10.1101/026757
Ying Zhou
*Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
Kai Yuan
*Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
Yaoliang Yu
†Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
Xumin Ni
‡Department of Mathematics, School of Science, Beijing Jiaotong University, Beijing 100044, China
Pengtao Xie
†Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
Eric P. Xing
†Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
Shuhua Xu
*Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
††School of Life Science and Technology, ShanghaiTec University, Shanghai 200031, China
‡‡Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
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Posted September 14, 2015.
Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with multiple exponential functions
Ying Zhou, Kai Yuan, Yaoliang Yu, Xumin Ni, Pengtao Xie, Eric P. Xing, Shuhua Xu
bioRxiv 026757; doi: https://doi.org/10.1101/026757
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