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    Statistical methods and challenges in connectome genetics

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    1-s2.0-S0167715218300932-main.pdf
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    Description:
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    Type
    Article
    Authors
    Pluta, Dustin
    Yu, Zhaoxia
    Shen, Tong
    Chen, Chuansheng
    Xue, Gui
    Ombao, Hernando cc
    KAUST Department
    Biostatistics Group
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Statistics Program
    Date
    2018-03-12
    Online Publication Date
    2018-03-12
    Print Publication Date
    2018-05
    Permanent link to this record
    http://hdl.handle.net/10754/627340
    
    Metadata
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    Abstract
    The study of genetic influences on brain connectivity, known as connectome genetics, is an exciting new direction of research in imaging genetics. We here review recent results and current statistical methods in this area, and discuss some of the persistent challenges and possible directions for future work.
    Citation
    Pluta D, Yu Z, Shen T, Chen C, Xue G, et al. (2018) Statistical methods and challenges in connectome genetics. Statistics & Probability Letters. Available: http://dx.doi.org/10.1016/j.spl.2018.02.048.
    Publisher
    Elsevier BV
    Journal
    Statistics & Probability Letters
    DOI
    10.1016/j.spl.2018.02.048
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S0167715218300932
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.spl.2018.02.048
    Scopus Count
    Collections
    Articles; Statistics Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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