Work

Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations

Year: 2015

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-23344-4_12

Authors: Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen, [Authorinst]for the Alzheimer’s Dis Initiative

Institutions: Indiana University School of Medicine, Indiana University Indianapolis, Rose–Hulman Institute of Technology, University of Pennsylvania

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute on Aging, U.S. National Library of Medicine, National Center for Advancing Translational Sciences

Awards: G104586243, Indiana Alzheimer Disease Center, Bioinformatics Strategies for Multidimensional Brain Imaging Genetics, Genetic architecture of memory and executive functioning in Alzheimer's disease, Indiana Clinical and Translational Sciences Institute, Integration of Bio-, Medical, and Imaging Informatics for Complex Diseases, Machine Learning Prediction of Cancer Susceptibility, Bioinformatics Strategies for Genome Wide Association Studies, Alzheimer's Disease Neuroimaging Initiative, Novel Strategies for Blood-based Biomarkers for AD: Role of Genetic Variation in a Multivariate Framework, Memory Circuitry in MCI and Early Alzheimerâs Disease Prodrome: Molecular Drivers, Amyloid Imaging, VMCI, and Analysis for ADNI, Metabolic Networks and Pathways in Alzheimer's Disease

OpenAlex ID: W4255387632

FWCI: 1.447

Cites: 21

Cited by: 2

Related to: 10