Statistical methods and challenges in connectome genetics

Handle URI:
http://hdl.handle.net/10754/627340
Title:
Statistical methods and challenges in connectome genetics
Authors:
Pluta, Dustin; Yu, Zhaoxia; Shen, Tong; Chen, Chuansheng; Xue, Gui; Ombao, Hernando ( 0000-0001-7020-8091 )
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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Statistics Program; Biostatistics Group, King Abdullah University of Science and Technology, Saudi Arabia
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
Issue Date:
12-Mar-2018
DOI:
10.1016/j.spl.2018.02.048
Type:
Article
ISSN:
0167-7152
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0167715218300932
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Statistics Program

Full metadata record

DC FieldValue Language
dc.contributor.authorPluta, Dustinen
dc.contributor.authorYu, Zhaoxiaen
dc.contributor.authorShen, Tongen
dc.contributor.authorChen, Chuanshengen
dc.contributor.authorXue, Guien
dc.contributor.authorOmbao, Hernandoen
dc.date.accessioned2018-03-15T11:35:54Z-
dc.date.available2018-03-15T11:35:54Z-
dc.date.issued2018-03-12en
dc.identifier.citationPluta 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.identifier.issn0167-7152en
dc.identifier.doi10.1016/j.spl.2018.02.048en
dc.identifier.urihttp://hdl.handle.net/10754/627340-
dc.description.abstractThe 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.publisherElsevier BVen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0167715218300932en
dc.rightsNOTICE: 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.titleStatistical methods and challenges in connectome geneticsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentStatistics Programen
dc.contributor.departmentBiostatistics Group, King Abdullah University of Science and Technology, Saudi Arabiaen
dc.identifier.journalStatistics & Probability Lettersen
dc.eprint.versionPost-printen
dc.contributor.institutionDepartment of Statistics, University of California, Irvine, USAen
dc.contributor.institutionDepartment of Psychology and Social Behavior, University of California, Irvine, USAen
dc.contributor.institutionState 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 Chinaen
kaust.authorOmbao, Hernandoen
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