Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
about
Genetics of the connectomeA 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 biomarkersBi-level multi-source learning for heterogeneous block-wise missing data.Neuroimaging and genetic risk for Alzheimer's disease and addiction-related degenerative brain disorders.Sparse models for correlative and integrative analysis of imaging and genetic dataIntegrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction.FVGWAS: 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.REDUCING CSF PARTIAL VOLUME EFFECTS TO ENHANCE DIFFUSION TENSOR IMAGING METRICS OF BRAIN MICROSTRUCTURE.From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.Hierarchical interactions model for predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) conversionA Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease Diagnosis.Structural brain network constrained neuroimaging marker identification for predicting cognitive functions.Predicting Interrelated Alzheimer's Disease Outcomes via New Self-Learned Structured Low-Rank Model.Multi-task diagnosis for autism spectrum disorders using multi-modality features: A multi-center study.Brain transcriptome atlases: a computational perspective.Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans.Identification and Clinical Translation of Biomarker Signatures: Statistical Considerations.Genotype-phenotype association study via new multi-task learning model.Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-Learning Predictive ModelMCI Identification by Joint Learning on Multiple MRI DataA Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis
P2860
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P2860
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
name
Identifying disease sensitive ...... multimodal multitask learning.
@ast
Identifying disease sensitive ...... multimodal multitask learning.
@en
Identifying disease sensitive ...... multimodal multitask learning.
@nl
type
label
Identifying disease sensitive ...... multimodal multitask learning.
@ast
Identifying disease sensitive ...... multimodal multitask learning.
@en
Identifying disease sensitive ...... multimodal multitask learning.
@nl
prefLabel
Identifying disease sensitive ...... multimodal multitask learning.
@ast
Identifying disease sensitive ...... multimodal multitask learning.
@en
Identifying disease sensitive ...... multimodal multitask learning.
@nl
P2093
P2860
P50
P356
P1433
P1476
Identifying disease sensitive ...... multimodal multitask learning.
@en
P2093
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS228
P407
P577
2012-06-01T00:00:00Z