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From big data analysis to personalized medicine for all: challenges and opportunitiesGenetic modifiers of cognitive maintenance among older adultsDIAGNOSIS-GUIDED METHOD FOR IDENTIFYING MULTI-MODALITY NEUROIMAGING BIOMARKERS ASSOCIATED WITH GENETIC RISK FACTORS IN ALZHEIMER'S DISEASE.Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.Brain transcriptome atlases: a computational perspective.Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.Probabilistic Modeling of Imaging, Genetics and Diagnosis.Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.Quantifying anatomical shape variations in neurological disorders.Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.
P2860
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on January 2013
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Joint modeling of imaging and genetics.
@en
Joint modeling of imaging and genetics.
@nl
type
label
Joint modeling of imaging and genetics.
@en
Joint modeling of imaging and genetics.
@nl
prefLabel
Joint modeling of imaging and genetics.
@en
Joint modeling of imaging and genetics.
@nl
P2860
P50
P1476
Joint modeling of imaging and genetics.
@en
P2093
Golland Polina
Nematollah K Batmanghelich
P2860
P304
P356
10.1007/978-3-642-38868-2_64
P577
2013-01-01T00:00:00Z