Work

GPU Accelerated Browser for Neuroimaging Genomics

Year: 2018

Type: article

Source: Neuroinformatics

DOI: 10.1007/s12021-018-9376-y

Authors: Alzheimer’s Disease Neuroimaging Initiative, Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen

Institutions: Indiana University – Purdue University Indianapolis, University of Pennsylvania, Indiana University Indianapolis, Indiana University School of Medicine

Language: English

Topic: Computer Graphics and Visualization Techniques

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Indiana University-Purdue University Indianapolis, National Institutes of Health, National Institute on Aging, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine

Awards: G104586243, Indiana Alzheimer Disease Center, Bioinformatics Strategies for Multidimensional Brain Imaging Genetics, Integrative Bioinformatics Approaches to Human Brain Genomics and Connectomics, Alzheimer's Disease Neuroimaging Initiative, Memory Circuitry in MCI and Early Alzheimerâs Disease Prodrome: Molecular Drivers, Alzheimer's Disease Neuroimaging Initiative (ADNI4)

OpenAlex ID: W2800170456

FWCI:

Cites: 26

Cited by: 1

Related to: 10