Name:
1-s2.0-S0167715218300932-main.pdf
Size:
263.3Kb
Format:
PDF
Description:
Accepted Manuscript
Type
ArticleKAUST Department
Biostatistics GroupComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Statistics Program
Date
2018-03-12Online Publication Date
2018-03-12Print Publication Date
2018-05Permanent link to this record
http://hdl.handle.net/10754/627340
Metadata
Show full item recordAbstract
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 BVJournal
Statistics & Probability LettersAdditional Links
http://www.sciencedirect.com/science/article/pii/S0167715218300932ae974a485f413a2113503eed53cd6c53
10.1016/j.spl.2018.02.048