Hasil Pencarian - Lide Han

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  1. 1
    Editorial: Statistical Methods, Computing and Resources for Genome-Wide Association Studies

    Editorial: Statistical Methods, Computing and Resources for Genome-Wide Association Studies oleh Hailan Liu, Lide Han, Guolian Kang, Min Zhang, Riyan Cheng

    Diterbitkan 2021-08-01
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  2. 2
    Editorial: Statistical methods, computing, and resources for genome-wide association studies, Volume II

    Editorial: Statistical methods, computing, and resources for genome-wide association studies, Volume II oleh Lide Han, Hailan Liu, Guolian Kang, Min Zhang, Riyan Cheng

    Diterbitkan 2022-10-01
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  3. 3
    PRIMAL: Fast and accurate pedigree-based imputation from sequence data in a founder population.

    PRIMAL: Fast and accurate pedigree-based imputation from sequence data in a founder population. oleh Oren E Livne, Lide Han, Gorka Alkorta-Aranburu, William Wentworth-Sheilds, Mark Abney, Carole Ober, Dan L Nicolae

    Diterbitkan 2015-03-01
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  4. 4
    DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data.

    DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data. oleh Yi Jiang, Gina Giase, Kay Grennan, Annie W Shieh, Yan Xia, Lide Han, Quan Wang, Qiang Wei, Rui Chen, Sihan Liu, Kevin P White, Chao Chen, Bingshan Li, Chunyu Liu

    Diterbitkan 2020-04-01
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  5. 5
    Functional annotation of rare structural variation in the human brain

    Functional annotation of rare structural variation in the human brain oleh Lide Han, Xuefang Zhao, Mary Lauren Benton, Thaneer Perumal, Ryan L. Collins, Gabriel E. Hoffman, Jessica S. Johnson, Laura Sloofman, Harold Z. Wang, Matthew R. Stone, CommonMind Consortium, Kristen J. Brennand, Harrison Brand, Solveig K. Sieberts, Stefano Marenco, Mette A. Peters, Barbara K. Lipska, Panos Roussos, John A. Capra, Michael Talkowski, Douglas M. Ruderfer

    Diterbitkan 2020-06-01
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