Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank scale.
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| Title: | Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank scale. |
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| Authors: | Hoang N; Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America., Sardaripour N; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America., Ramey GD; Biological and Medical Informatics Division, University of California, San Francisco, California, United States of America.; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America., Schilling K; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Liao E; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America., Chen Y; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America., Park JH; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America., Bledsoe X; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Landman BA; Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America.; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Gamazon ER; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Benton ML; Department of Computer Science, Baylor University, Waco, Texas, United States of America., Capra JA; Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America.; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America.; Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.; Bakar Computational Health Sciences Institute, University of California, San Francisco, California, United States of America., Rubinov M; Department of Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America.; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.; Department of Psychology, Vanderbilt University, Nashville, Tennessee, United States of America.; Howard Hughes Medical Institute Janelia Research Campus, Ashburn, Virginia, United States of America. |
| Source: | PLoS biology [PLoS Biol] 2024 Sep 13; Vol. 22 (9), pp. e3002782. Date of Electronic Publication: 2024 Sep 13 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection Cited Medium: Internet ISSN: 1545-7885 (Electronic) Linking ISSN: 15449173 NLM ISO Abbreviation: PLoS Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1545-7885 |
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| DOI: | 10.1371/journal.pbio.3002782 |
