Cargando…

Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction

In this paper, we explore the effects of integrating multi-dimensional imaging genomics data for Alzheimer's disease (AD) prediction using machine learning approaches. Precisely, we compare our three recent proposed feature selection methods [i.e., multiple kernel learning (MKL), high-order gra...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Ziming, Huang, Heng, Shen, Dinggang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2014
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201101/ https://www.ncbi.nlm.nih.gov/pubmed/25368574 http://dx.doi.org/10.3389/fnagi.2014.00260

Ejemplares similares

Subclass-based multi-task learning for Alzheimer's disease diagnosis
por: Suk, Heung-II, et al.
Publicado: (2014)

The prediction of Alzheimer’s disease through multi-trait genetic modeling
por: Clark, Kaylyn, et al.
Publicado: (2023)

Brain Connectivity Based Prediction of Alzheimer’s Disease in Patients With Mild Cognitive Impairment Based on Multi-Modal Images
por: Zheng, Weihao, et al.
Publicado: (2019)

Discovery of multi-dimensional modules by integrative analysis of cancer genomic data
por: Zhang, Shihua, et al.
Publicado: (2012)

High Dimensional Classification of Structural MRI Alzheimer’s Disease Data Based on Large Scale Regularization
por: Casanova, Ramon, et al.
Publicado: (2011)

Alzheimer's Disease Classification Through Imaging Genetic Data With IGnet
por: Wang, Jade Xiaoqing, et al.
Publicado: (2022)

Integrative EEG biomarkers predict progression to Alzheimer's disease at the MCI stage
por: Poil, Simon-Shlomo, et al.
Publicado: (2013)

Hierarchical multi-class Alzheimer’s disease diagnostic framework using imaging and clinical features
por: Qin, Yao, et al.
Publicado: (2022)

Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI
por: Zhao, Feng, et al.
Publicado: (2018)

Uncovering neuroinflammation-related modules and potential repurposing drugs for Alzheimer's disease through multi-omics data integrative analysis
por: Li, Shensuo, et al.
Publicado: (2023)

Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification
por: van Loon, Wouter, et al.
Publicado: (2022)

Identification of highly reliable risk genes for Alzheimer’s disease through joint-tissue integrative analysis
por: Wang, Yong Heng, et al.
Publicado: (2023)

MVPA-Light: A Classification and Regression Toolbox for Multi-Dimensional Data
por: Treder, Matthias S.
Publicado: (2020)

PET Imaging in Animal Models of Alzheimer’s Disease
por: Chen, Baosheng, et al.
Publicado: (2022)

Genotype-phenotype association study via new multi-task learning model
por: Huo, Zhouyuan, et al.
Publicado: (2018)

Multi-feature fusion learning for Alzheimer's disease prediction using EEG signals in resting state
por: Chen, Yonglin, et al.
Publicado: (2023)

Perspectives on How Human Simultaneous Multi-Modal Imaging Adds Directionality to Spread Models of Alzheimer’s Disease
por: Neitzel, Julia, et al.
Publicado: (2018)

A medical image segmentation method based on multi-dimensional statistical features
por: Xu, Yang, et al.
Publicado: (2022)

Stability of AI-Enabled Diagnosis of Parkinson’s Disease: A Study Targeting Substantia Nigra in Quantitative Susceptibility Mapping Imaging
por: Xiao, Bin, et al.
Publicado: (2021)

Combined Multi-Atlas and Multi-Layer Perception for Alzheimer's Disease Classification
por: Hong, Xin, et al.
Publicado: (2022)

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations
por: Ahmad, Sahar, et al.
Publicado: (2019)

Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network
por: Chen, Xin, et al.
Publicado: (2021)

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
por: Jo, Taeho, et al.
Publicado: (2019)

Prediction of rehabilitation induced motor recovery after stroke using a multi-dimensional and multi-modal approach
por: Salvalaggio, Silvia, et al.
Publicado: (2023)

Loss of Parietal Memory Network Integrity in Alzheimer’s Disease
por: Hu, Yang, et al.
Publicado: (2019)

Multi-Targets: An Unconventional Drug Development Strategy for Alzheimer’s Disease
por: Gong, Cheng-Xin, et al.
Publicado: (2022)

Therapeutic properties of multi-cannabinoid treatment strategies for Alzheimer’s disease
por: Coles, Madilyn, et al.
Publicado: (2022)

Multi-modal feature selection with anchor graph for Alzheimer's disease
por: Li, Jiaye, et al.
Publicado: (2022)

Progress of RAGE Molecular Imaging in Alzheimer’s Disease
por: Kong, Yanyan, et al.
Publicado: (2020)

Three-Dimensional Atlas System for Mouse and Rat Brain Imaging Data
por: Hjornevik, Trine, et al.
Publicado: (2007)

Multi-Dimensional Transcriptome Analysis Reveals Modulation of Cholesterol Metabolism as Highly Integrated Response to Brain Injury
por: Gourain, Victor, et al.
Publicado: (2021)

Validation of the Alzheimer’s disease-resemblance atrophy index in classifying and predicting progression in Alzheimer’s disease
por: He, Qiling, et al.
Publicado: (2022)

Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network
por: Huang, Yechong, et al.
Publicado: (2019)

Geometric algebra based recurrent neural network for multi-dimensional time-series prediction
por: Li, Yanping, et al.
Publicado: (2022)

Multi-Loop Model of Alzheimer Disease: An Integrated Perspective on the Wnt/GSK3β, α-Synuclein, and Type 3 Diabetes Hypotheses
por: Norwitz, Nicholas G., et al.
Publicado: (2019)

Potential Diagnostic Applications of Multi-Delay Arterial Spin Labeling in Early Alzheimer’s Disease: The Chinese Imaging, Biomarkers, and Lifestyle Study
por: Sun, Mengfan, et al.
Publicado: (2022)

Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease
por: Cai, Lihui, et al.
Publicado: (2020)

Multi-scale integration and predictability in resting state brain activity
por: Kolchinsky, Artemy, et al.
Publicado: (2014)

Combined Structural MR and Diffusion Tensor Imaging Classify the Presence of Alzheimer’s Disease With the Same Performance as MR Combined With Amyloid Positron Emission Tomography: A Data Integration Approach
por: Agostinho, Daniel, et al.
Publicado: (2022)

Acylated Ghrelin as a Multi-Targeted Therapy for Alzheimer's and Parkinson's Disease
por: Reich, Niklas, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_jjmp0erfj4iaceu1ptc6v5bccn