Article

inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omics Brain Imaging Genetics

2022-11-02

Abstract excerpt

Identifying genetic risk factors for Alzheimer’s disease (AD) is an important research topic. To date, different endophenotypes such as imaging-derived endophenotypes and proteomic expression-derived endophenotypes have shown the great value in uncovering risk genes compared to case-control studies. Biologically, a co-varying pattern of these different omics derived endophenotypes could result from the shared gene...

Topics

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

Identifiers and source

Literature Corpus work: 59694f0b-682d-59b7-92c1-f9c184a5e875
DOI: 10.1101/2022.10.30.514398

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omics Brain Imaging GeneticsDOI 10.1101/2022.10.30.514398Read

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

Exploring Imaging Genetic Markers of Alzheimer's Disease Based on a Novel Nonlinear Correlation Analysis Algorithm.Semantic proximity Read

Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.Semantic proximity Read

Identifying Biomarkers of Alzheimer's Disease via a Novel Structured Sparse Canonical Correlation Analysis Approach.Semantic proximity Read

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

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.Semantic proximity Read

Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.Semantic proximity Read

A comprehensive multi-omics analysis reveals unique signatures to predict Alzheimer’s diseaseSemantic proximity Read

Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics.Semantic proximity Read

Modeling genotype-protein interaction and correlation for Alzheimer's disease: a multi-omics imaging genetics study.Semantic proximity Read

Multi-Task Learning and Sparse Discriminant Canonical Correlation Analysis for Identification of Diagnosis-Specific Genotype-Phenotype Association.Semantic proximity Read

Predicting gene regulatory networks from multi-omics to link genetic risk variants and neuroimmunology to Alzheimer’s disease phenotypesSemantic proximity Read