Research graph
References from A statistical framework for integrative imaging genomics with biclustering and ensemble penalized regression in Alzheimer’s disease. Local targets link to admitted publications; unresolved targets remain external evidence.
Epigenetic biomarkers in Alzheimer’s disease: Diagnostic and prognostic relevance
10.1016/j.arr.2024.102556 · 2024 · External reference
A constrained ℓ1 minimization approach to sparse precision matrix estimation
10.1198/jasa.2011.tm10155 · 2011 · External reference
Mice deficient for the ets transcription factor elk-1 show normal immune responses and mildly impaired neuronal gene activation
10.1128/mcb.24.1.294-305.2004 · 2004 · External reference
The global macroeconomic burden of Alzheimer’s disease and other dementias: estimates and projections for 152 countries or territories
10.1016/s2214-109x(24)00264-x · 2024 · External reference
Simultaneous differential network analysis and classification for matrix-variate data with application to brain connectivity
10.1093/biostatistics/kxab007 · 2022 · External reference
The role of early growth response 1 (EGR1) in brain plasticity and neuropsychiatric disorders
10.3389/fnbeh.2017.00035 · 2017 · External reference
Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets
10.1038/s41392-023-01588-0 · 2023 · External reference
Imaging genomics
10.1093/bmb/65.1.259 · 2003 · External reference
Biclustering via sparse clustering
2020 · External reference
New insights on the role of microglia in synaptic pruning in health and disease
10.1016/j.conb.2015.12.004 · 2016 · External reference
Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer’s disease and mild cognitive impairment: A systematic review
10.1002/hbm.25369 · 2021 · External reference
Precuneus magnetic stimulation for Alzheimer’s disease: a randomized, sham-controlled trial
10.1093/brain/awac285 · 2022 · External reference
Estimating dynamic brain functional networks using multi-subject fMRI data
10.1016/j.neuroimage.2018.07.045 · 2018 · External reference
A deep learning model for early prediction of Alzheimer’s disease dementia based on hippocampal magnetic resonance imaging data
10.1016/j.jalz.2019.02.007 · 2019 · External reference
A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectives
10.1186/s40035-022-00315-z · 2022 · External reference
Default-mode network connectivity changes during the progression toward alzheimer’s dementia: A longitudinal functional magnetic resonance imaging study
10.1089/brain.2022.0008 · 2023 · External reference
A new genetic strategy for targeting microglia in development and disease
10.7554/elife.54590 · 2020 · External reference
The chemokine receptor CXCR3 and its ligands CXCL9, CXCL10 and CXCL11 in neuroimmunity–a tale of conflict and conundrum
10.1111/j.1365-2990.2010.01089.x · 2010 · External reference
Inference for the generalization error
10.1023/a:1024068626366 · 2003 · External reference
Atrophy patterns in early clinical stages across distinct phenotypes of alzheimer’s disease
10.1002/hbm.22927 · 2015 · External reference
A review of the current status of disease-modifying therapies and prevention of Alzheimer’s disease
10.12659/msm.945091 · 2024 · External reference
Automated anatomical labelling atlas 3
10.1016/j.neuroimage.2019.116189 · 2020 · External reference
Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes
10.1038/s41588-020-00776-w · 2021 · External reference
Deciphering the role of miRNAs in Alzheimer’s disease: predictive targeting and pathway modulation–a systematic review
10.1016/j.arr.2024.102483 · 2024 · External reference
Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach
10.1016/j.neuroimage.2010.07.002 · 2010 · External reference
An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation
10.3389/fnins.2016.00123 · 2016 · External reference
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort
10.1093/bioinformatics/btr649 · 2012 · External reference
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis
10.1093/bioinformatics/btac074 · 2022 · External reference
Clinical practice of brain–machine interfaces in neurological disorders
10.1016/j.engmed.2025.100090 · 2025 · External reference
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
10.1093/biostatistics/kxp008 · 2009 · External reference
Multidimensional molecular measurements–environment interaction analysis for disease outcomes
10.1111/biom.13526 · 2022 · External reference
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm
10.1093/bioinformatics/btu465 · 2014 · External reference
Identification of discriminative imaging proteomics associations in alzheimer’s disease via a novel sparse correlation model
2017 · External reference
Microglia-orchestrated neuroinflammation and synaptic remodeling: roles of pro-inflammatory cytokines and receptors in neurodegeneration
10.3389/fncel.2025.1700692 · 2025 · External reference
Progress in biomedical engineering during 2023 in China
10.1016/j.engmed.2024.100039 · 2024 · External reference
On model selection consistency of lasso
2006 · External reference
Integrating multidimensional omics data for cancer outcome
10.1093/biostatistics/kxw010 · 2016 · External reference
