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Neuroimaging PheWAS (Phenome-Wide Association Study): A Free Cloud-Computing Platform for Big-Data, Brain-Wide Imaging Association Studies.
Zhao, Lu; Batta, Ishaan; Matloff, William; O'Driscoll, Caroline; Hobel, Samuel; Toga, Arthur W.
Affiliation
  • Zhao L; Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
  • Batta I; Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
  • Matloff W; Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
  • O'Driscoll C; Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
  • Hobel S; Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
  • Toga AW; Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA. toga@loni.usc.edu.
Neuroinformatics ; 19(2): 285-303, 2021 04.
Article in En | MEDLINE | ID: mdl-32822005
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenotype / Brain / Genome-Wide Association Study / Neuroimaging / Cloud Computing / Big Data Type of study: Observational_studies / Risk_factors_studies Limits: Humans Language: En Journal: Neuroinformatics Journal subject: INFORMATICA MEDICA / NEUROLOGIA Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenotype / Brain / Genome-Wide Association Study / Neuroimaging / Cloud Computing / Big Data Type of study: Observational_studies / Risk_factors_studies Limits: Humans Language: En Journal: Neuroinformatics Journal subject: INFORMATICA MEDICA / NEUROLOGIA Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States