Statistical methods and challenges in connectome genetics

Dustin Pluta; Zhaoxia Yu; Tong Shen; Chuansheng Chen; Gui Xue; Hernando Ombao

doi:10.1016/j.spl.2018.02.048

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Statistical methods and challenges in connectome genetics

Journal article

Peer reviewed

Statistical methods and challenges in connectome genetics

Dustin Pluta, Zhaoxia Yu, Tong Shen, Chuansheng Chen, Gui Xue and Hernando Ombao

Statistics & probability letters, Vol.136, pp.83-86

05/2018

DOI: https://doi.org/10.1016/j.spl.2018.02.048

Abstract

Connectivity

Genetics

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.

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Title: Statistical methods and challenges in connectome genetics
Creators - without role: Dustin Pluta - University of California, Irvine
Zhaoxia Yu - University of California, Irvine
Tong Shen - University of California, Irvine
Chuansheng Chen - University of California, Irvine
Gui Xue - Beijing Normal University
Hernando Ombao - King Abdullah University of Science and Technology
Publication Details: Statistics & probability letters, Vol.136, pp.83-86
Publisher: Elsevier B.V
Identifiers: 9945279908331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article