Lista de obras - Jingwen Yan - Dominio Público Uruguay

A Novel SCCA Approach via Truncated ℓ1-norm and Truncated Group Lasso for Brain Imaging Genetics

artículo científico publicado en 2017

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics

article

Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data

article

Brain-wide structural connectivity alterations under the control of Alzheimer risk genes

artículo científico publicado en 2020

Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm

artículo científico publicado en 2014

DATA SYNTHESIS AND METHOD EVALUATION FOR BRAIN IMAGING GENETICS.

artículo científico publicado en 2014

DIAGNOSIS-GUIDED METHOD FOR IDENTIFYING MULTI-MODALITY NEUROIMAGING BIOMARKERS ASSOCIATED WITH GENETIC RISK FACTORS IN ALZHEIMER'S DISEASE.

artículo científico publicado en 2016

Differential co-expression analysis reveals early stage transcriptomic decoupling in alzheimer's disease

artículo científico publicado en 2020

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs

artículo científico publicado en 2012

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics

article

GPU Accelerated Browser for Neuroimaging Genomics

artículo científico publicado en 2018

Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort

artículo científico publicado en 2015

Genome-wide Network-assisted Association and Enrichment Study of Amyloid Imaging Phenotype in Alzheimer's Disease

artículo científico publicado en 2019

Genome-wide association and interaction studies of CSF T-tau/Aβ42 ratio in ADNI cohort

artículo científico publicado en 2017

Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 ratio in the ADNI cohort

artículo científico publicado en 2017

Heritability Estimation of Reliable Connectomic Features

scientific article published on 15 September 2018

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction ⬇️

artículo científico publicado en 2012

Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease

artículo científico publicado en 2015

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model

article

IDENTIFICATION OF DISCRIMINATIVE IMAGING PROTEOMICS ASSOCIATIONS IN ALZHEIMER'S DISEASE VIA A NOVEL SPARSE CORRELATION MODEL.

scientific article published on January 2016

Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.

artículo científico publicado en 2017

Identification of functionally connected multi-omic biomarkers for Alzheimer's disease using modularity-constrained Lasso

scientific article published on 17 June 2020

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach

artículo científico publicado en 2017

Identifying Connectome Module Patterns via New Balanced Multi-Graph Normalized Cut

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease

artículo científico publicado en 2016

Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning

artículo científico publicado en 2014

Interactive object extraction by merging regions with k-global maximal similarity

JOINT EXPLORATION AND MINING OF MEMORY-RELEVANT BRAIN ANATOMIC AND CONNECTOMIC PATTERNS VIA A THREE-WAY ASSOCIATION MODEL

JOINT IDENTIFICATION OF IMAGING AND PROTEOMICS BIOMARKERS OF ALZHEIMER'S DISEASE USING NETWORK-GUIDED SPARSE LEARNING.

artículo científico publicado en 2014

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model

artículo científico publicado en 2018

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-Learning Predictive Model

Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer's disease neuroimaging initiative

artículo científico publicado en 2017

Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer's Disease

scientific article published on 17 November 2020

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease

artículo científico publicado en 2017

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis

artículo científico publicado en 2019

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning

article published in 2012

Multivariate genome wide association and network analysis of subcortical imaging phenotypes in Alzheimer's disease

artículo científico publicado en 2020

NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES.

artículo científico publicado en 2017

Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data.

artículo científico publicado en 2017

Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures

Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts

artículo científico publicado en 2016

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty

artículo científico publicado en 2017

Predicting Interrelated Alzheimer's Disease Outcomes via New Self-Learned Structured Low-Rank Model

artículo científico

Progress in Polygenic Composite Scores in Alzheimer's and Other Complex Diseases

scientific article published on 25 March 2019

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks

artículo científico publicado en 2018

Regional imaging genetic enrichment analysis

artículo científico publicado en 2019

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease

scholarly article published June 2012

Sparse Canonical Correlation Analysis via Truncated ℓ1-norm with Application to Brain Imaging Genetics

artículo científico publicado en 2016

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions

article by De Wang et al published 2013 in Lecture Notes in Computer Science

Structural brain network constrained neuroimaging marker identification for predicting cognitive functions

artículo científico

Structured sparse CCA for brain imaging genetics via graph OSCAR

artículo científico publicado en 2016

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method

scientific article published on 21 January 2016

The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics with bigger data and wider applications

scientific article published on 04 February 2019

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.

artículo científico publicado en 2017

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm

artículo científico

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm

artículo científico publicado en 2014

Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations

Two-dimensional enrichment analysis for mining high-level imaging genetic associations

artículo científico publicado en 2016

Lista de obras de Jingwen Yan

A Novel SCCA Approach via Truncated ℓ1-norm and Truncated Group Lasso for Brain Imaging Genetics

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics

Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data

Brain-wide structural connectivity alterations under the control of Alzheimer risk genes

Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm

DATA SYNTHESIS AND METHOD EVALUATION FOR BRAIN IMAGING GENETICS.

DIAGNOSIS-GUIDED METHOD FOR IDENTIFYING MULTI-MODALITY NEUROIMAGING BIOMARKERS ASSOCIATED WITH GENETIC RISK FACTORS IN ALZHEIMER'S DISEASE.

Differential co-expression analysis reveals early stage transcriptomic decoupling in alzheimer's disease

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics

GPU Accelerated Browser for Neuroimaging Genomics

Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort

Genome-wide Network-assisted Association and Enrichment Study of Amyloid Imaging Phenotype in Alzheimer's Disease

Genome-wide association and interaction studies of CSF T-tau/Aβ42 ratio in ADNI cohort

Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 ratio in the ADNI cohort

Heritability Estimation of Reliable Connectomic Features

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction ⬇️

Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model

IDENTIFICATION OF DISCRIMINATIVE IMAGING PROTEOMICS ASSOCIATIONS IN ALZHEIMER'S DISEASE VIA A NOVEL SPARSE CORRELATION MODEL.

Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.

Identification of functionally connected multi-omic biomarkers for Alzheimer's disease using modularity-constrained Lasso

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach

Identifying Connectome Module Patterns via New Balanced Multi-Graph Normalized Cut

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease

Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning

Interactive object extraction by merging regions with k-global maximal similarity

JOINT EXPLORATION AND MINING OF MEMORY-RELEVANT BRAIN ANATOMIC AND CONNECTOMIC PATTERNS VIA A THREE-WAY ASSOCIATION MODEL

JOINT IDENTIFICATION OF IMAGING AND PROTEOMICS BIOMARKERS OF ALZHEIMER'S DISEASE USING NETWORK-GUIDED SPARSE LEARNING.

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-Learning Predictive Model

Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer's disease neuroimaging initiative

Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer's Disease

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning

Multivariate genome wide association and network analysis of subcortical imaging phenotypes in Alzheimer's disease

NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER'S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES.

Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data.

Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures

Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty

Predicting Interrelated Alzheimer's Disease Outcomes via New Self-Learned Structured Low-Rank Model

Progress in Polygenic Composite Scores in Alzheimer's and Other Complex Diseases

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks

Regional imaging genetic enrichment analysis

Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease

Sparse Canonical Correlation Analysis via Truncated ℓ1-norm with Application to Brain Imaging Genetics

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions

Structural brain network constrained neuroimaging marker identification for predicting cognitive functions

Structured sparse CCA for brain imaging genetics via graph OSCAR

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method

The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics with bigger data and wider applications

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm

Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations

Two-dimensional enrichment analysis for mining high-level imaging genetic associations