Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method
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Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.Adaptive testing for multiple traits in a proportional odds model with applications to detect SNP-brain network associations.Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex PenaltyA Novel SCCA Approach via Truncated ℓ1-norm and Truncated Group Lasso for Brain Imaging Genetics.Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach.Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia.Sparse Canonical Correlation Analysis via Truncated ℓ1-norm with Application to Brain Imaging Genetics.Beyond heritability: Improving discoverability in imaging genetics.A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging GeneticsLateral Ventricle Enlargement and Cortical Thinning in Idiopathic Normal-pressure Hydrocephalus Patients
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Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 21 January 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Structured sparse canonical co ...... s: an improved GraphNet method
@en
Structured sparse canonical co ...... : an improved GraphNet method.
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Structured sparse canonical co ...... s: an improved GraphNet method
@en
Structured sparse canonical co ...... : an improved GraphNet method.
@nl
prefLabel
Structured sparse canonical co ...... s: an improved GraphNet method
@en
Structured sparse canonical co ...... : an improved GraphNet method.
@nl
P2093
P2860
P50
P356
P1433
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Structured sparse canonical co ...... s: an improved GraphNet method
@en
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Heng Huang
Jingwen Yan
Mark Inlow
P2860
P304
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10.1093/BIOINFORMATICS/BTW033
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P50
P577
2016-01-21T00:00:00Z