Article

A novel classification framework for genome-wide association study of whole brain MRI images using deep learning

2024-01-14

Abstract excerpt

Genome-wide association studies (GWASs) have been widely applied in the neuroimaging field to discover genetic variants associated with brain-related traits. So far, almost all GWASs conducted in neuroimaging genetics are performed on univariate quantitative features summarized from brain images. On the other hand, powerful deep learning technologies have dramatically improved our ability to classify images. In th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7e0636f7-5d85-51d2-a9a2-9fe27350278c
DOI: 10.1101/2024.01.11.575251

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A novel classification framework for genome-wide association study of whole brain MRI images using deep learningDOI 10.1101/2024.01.11.575251Read

A novel classification framework for genome-wide association study of whole brain MRI images using deep learning.Semantic proximity Read

Deep Learning-based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer’s DiseaseSemantic proximity Read

Multi-Modal Data Analysis for Alzheimer’s Disease Diagnosis: An Ensemble Model Using Imagery and Genetic FeaturesSemantic proximity Read

Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging.Semantic proximity Read

TransferGWAS of T1-weighted brain MRI data from UK Biobank.Semantic proximity Read

Computation and resource efficient genome-wide association analysis for large-scale imaging studies.Semantic proximity Read

Imaging genomics.Semantic proximity Read

Feature Fusion and Detection in Alzheimer’s Disease Using a Novel Genetic Multi-Kernel SVM Based on MRI Imaging and Gene DataSemantic proximity Read

Deciphering the genetic architecture of human brain structure and function: a brief survey on recent advances of neuroimaging genomics.Semantic proximity Read

Identifying genetic associations with MRI-derived measures via tree-guided sparse learning.Semantic proximity Read

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.Semantic proximity Read

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