Work

Bivariate Genome-Wide Association Study of Genetically Correlated Neuroimaging Phenotypes from DTI and MRI through a Seemingly Unrelated Regression Model

Year: 2013

Type: conference-paper

Study design: Observational Study

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-02126-3_19

Authors: Neda Jahanshad, Priya Bhatt, Derrek P. Hibar, Julio E. Villalon, Talia M. Nir, Arthur W. Toga, Clifford R. Jack, Matt A. Bernstein, Michael W. Weiner, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson

Institutions: University of California, Los Angeles, Mayo Clinic, San Francisco VA Medical Center, University of California, San Francisco, The University of Queensland, QIMR Berghofer Medical Research Institute

Language: English

Topic: Advanced Neuroimaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2243399138

FWCI: 2.391

Cites: 20

Cited by: 6

Related to: 10