Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Deep Trans-Omic Network Fusion for Molecular Mechanism of Alzheimer's Disease.

Journal of Alzheimer's disease : JAD - 1 Jan 2024

Xie Linhui, Raj Yash, Varathan Pradeep, He Bing, Yu Meichen, Nho Kwangsik, Salama Paul, Saykin Andrew J, Yan Jingwen

Abstract excerpt

Background: There are various molecular hypotheses regarding Alzheimer's disease (AD) like amyloid deposition, tau propagation, neuroinflammation, and synaptic dysfunction. However, detailed molecular mechanism underlying AD remains elusive. In addition, genetic contribution of these molecular hypothesis is not yet established despite the high heritability of AD. Objective: The study aims to enable the discovery...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alzheimer Disease
Share to Deep Learning

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 38728189
DOI: 10.3233/JAD-240098
PMCID: PMC12090225

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Deep Trans-Omic Network Fusion for Molecular Mechanism of Alzheimer's Disease.PMID 38728189Read ↗

Deep trans-omic network fusion reveals altered synaptic network in Alzheimer’s DiseaseSemantic proximity Read ↗

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

Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease.Semantic proximity Read ↗

An Integrated Molecular Atlas of Alzheimer’s DiseaseSemantic proximity Read ↗

Integrating GWAS and Transcriptomic Data Using PrediXcan and Multimodal Deep Learning Reveals Genetic Basis and Drug Repositioning Opportunities for Alzheimer’s DiseaseSemantic proximity Read ↗

A Network-based Deep Learning Framework Catalyzes GWAS and Multi-Omics Findings to Biology and Drug Repurposing for Alzheimer’s DiseaseSemantic proximity Read ↗

HINN: Hierarchical Input Neural Network identifies multi-omics biomarker for cognitive declineSemantic proximity Read ↗

An interpretable deep learning framework identifies proteomic drivers of Alzheimer’s diseaseSemantic proximity Read ↗

Brain cross-omics integration in Alzheimer’s diseaseSemantic proximity Read ↗

Integrative multi-omics approaches identify molecular pathways and improve Alzheimer’s Disease risk predictionSemantic proximity Read ↗

Genome-wide prediction and integrative functional characterization of Alzheimer’s disease-associated genesSemantic proximity Read ↗

Multiomics profiling of human plasma and CSF reveals ATN derived networks and highlights causal links in Alzheimer’s diseaseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.