Statistical methods and challenges in connectome genetics

Thumbnail
Name:
1-s2.0-S0167715218300932-main.pdf
Size:
263.3Kb
Format:
PDF
Description:
Accepted Manuscript
Embargo End Date:
2020-03-10
Download
Type
Article
Authors
Pluta, Dustin
Yu, Zhaoxia
Shen, Tong
Chen, Chuansheng
Xue, Gui
Ombao, Hernando cc
KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Statistics Program
Biostatistics Group, King Abdullah University of Science and Technology, Saudi Arabia
Date
2018-03-12
Permanent link to this record
http://hdl.handle.net/10754/627340

Metadata
Show full item record
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
ISSN
0167-7152
DOI
10.1016/j.spl.2018.02.048
Additional Links
http://www.sciencedirect.com/science/article/pii/S0167715218300932
Collections
Articles; Statistics Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division