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List of works by Jingwen Yan

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

scientific article published on 18 September 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

scientific article published on 07 February 2020

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

scientific article

DATA SYNTHESIS AND METHOD EVALUATION FOR BRAIN IMAGING GENETICS.

scientific article

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

scientific article

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

scientific article published on 03 April 2020

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

scientific article

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

article

GPU Accelerated Browser for Neuroimaging Genomics

scientific article published on 25 April 2018

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

scientific article

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

scientific article published on 01 January 2019

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

scientific article published on 15 May 2017

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

scientific article

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 ⬇️

scientific article published in January 2012

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

scientific article

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.

scientific article published in July 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

scientific article published on 23 May 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

scientific article published on 9 June 2016

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

scientific article

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.

scientific article published on May 2014

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

scientific article published on 01 July 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

scientific article published on 2 November 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

scientific article published on 14 March 2017

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis

scientific article published on 01 May 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

scientific article published on 29 December 2020

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

scientific article published on 19 June 2017

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

scientific article

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

scientific article

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

scientific article published on 25 October 2017

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

scientific article published on 23 May 2017

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

scientific article published on 01 September 2018

Regional imaging genetic enrichment analysis

scientific article published on 20 December 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

scientific article published in January 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

scientific article published on January 2013

Structured sparse CCA for brain imaging genetics via graph OSCAR

scientific article

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.

scientific article published on 29 May 2017

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

scientific article

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

scientific article

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

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

scientific article published on 13 May 2016

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