Statistical methods and challenges in connectome genetics

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

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)83-86
Number of pages4
JournalStatistics and Probability Letters
Volume136
DOIs
StatePublished - May 2018
Externally publishedYes

Keywords

  • Connectivity
  • Genetics

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint

Dive into the research topics of 'Statistical methods and challenges in connectome genetics'. Together they form a unique fingerprint.

Cite this