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- Statistical methods and challenges in connectome 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.
- KAUST Department:
- 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.
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- Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Statistics Program
Full metadata record
|dc.identifier.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.||en|
|dc.description.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.||en|
|dc.rights||NOTICE: this is the author’s version of a work that was accepted for publication in Statistics & Probability Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Statistics & Probability Letters, 10 March 2018. DOI: 10.1016/j.spl.2018.02.048. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.||en|
|dc.title||Statistical methods and challenges in connectome genetics||en|
|dc.contributor.department||Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division||en|
|dc.contributor.department||Biostatistics Group, King Abdullah University of Science and Technology, Saudi Arabia||en|
|dc.identifier.journal||Statistics & Probability Letters||en|
|dc.contributor.institution||Department of Statistics, University of California, Irvine, USA||en|
|dc.contributor.institution||Department of Psychology and Social Behavior, University of California, Irvine, USA||en|
|dc.contributor.institution||State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, PR China||en|
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