Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.
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Genetics of the connectomeThe ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic dataA review of multivariate analyses in imaging geneticsThe Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inceptionGenetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkersA review of feature reduction techniques in neuroimagingImaging genetics in attention-deficit/hyperactivity disorder and related neurodevelopmental domains: state of the art.Sparse models for correlative and integrative analysis of imaging and genetic dataFVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data.2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide.Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studiesData-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration.Genetic modifiers of cognitive maintenance among older adultsRecent advances in imaging Alzheimer's disease.Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning.Pathways-driven sparse regression identifies pathways and genes associated with high-density lipoprotein cholesterol in two Asian cohortsRandom forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes.Genetic influences of resting state fMRI activity in language-related brain regions in healthy controls and schizophrenia patients: a pilot study.Discovery and Replication of Gene Influences on Brain Structure Using LASSO Regression.PREDICTING TEMPORAL LOBE VOLUME ON MRI FROM GENOTYPES USING L(1)-L(2) REGULARIZED REGRESSION.SPReM: Sparse Projection Regression Model For High-dimensional Linear Regression.DIAGNOSIS-GUIDED METHOD FOR IDENTIFYING MULTI-MODALITY NEUROIMAGING BIOMARKERS ASSOCIATED WITH GENETIC RISK FACTORS IN ALZHEIMER'S DISEASE.Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression.The influence of APOE and TOMM40 polymorphisms on hippocampal volume and episodic memory in old ageAccurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairmentSupervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia ResearchPopulation-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power.Joint modeling of imaging and genetics.Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.Extracting patterns of morphometry distinguishing HIV associated neurodegeneration from mild cognitive impairment via group cardinality constrained classification.Computing group cardinality constraint solutions for logistic regression problems.Probabilistic Modeling of Imaging, Genetics and Diagnosis.Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.IMAGING GENETICS VIA SPARSE CANONICAL CORRELATION ANALYSIS.Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex PenaltyMachine learning shows association between genetic variability in PPARG and cerebral connectivity in preterm infants.Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
P2860
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P2860
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Sparse reduced-rank regression ...... otypes in Alzheimer's disease.
@ast
Sparse reduced-rank regression ...... otypes in Alzheimer's disease.
@en
type
label
Sparse reduced-rank regression ...... otypes in Alzheimer's disease.
@ast
Sparse reduced-rank regression ...... otypes in Alzheimer's disease.
@en
prefLabel
Sparse reduced-rank regression ...... otypes in Alzheimer's disease.
@ast
Sparse reduced-rank regression ...... otypes in Alzheimer's disease.
@en
P2093
P2860
P50
P1433
P1476
Sparse reduced-rank regression ...... otypes in Alzheimer's disease.
@en
P2093
Eva Janousova
Giovanni Montana
Maria Vounou
Robin Wolz
P2860
P304
P356
10.1016/J.NEUROIMAGE.2011.12.029
P407
P577
2011-12-22T00:00:00Z