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Sguq: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis Using Multi-Omics Data

SSRN Electronic Journal(2024)10.2139/ssrn.5007474Source: DataRank Database

Sguq: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis Using Multi-Omics Data is a research paper published in SSRN Electronic Journal (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (10)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Yixin Xie ORCID,Jeffrey D. Deng,Hui Shen ORCID,Hong‐Wen Deng ORCID,Weihua Zhou

Live enrichment

PubMed:26657633

National Institutes of Health

Grant: 5U19AG055373-04

Trans-omics integration of multi-omics studies for male osteoporosis

National Institutes of Health

Grant: 1R15HL172198-01

Multi-modality Image Fusion to Improve Coronary Revascularization in Patients with Stable Coronary Artery Disease

National Institutes of Health

Grant: 1R15HL173852-01

Integrative analysis of electrical and mechanical dyssynchrony to improve cardiac resynchronization therapy

greenLicense: CC BY

repositoryhttp://dx.doi.org/10.2139/ssrn.5007474

repositoryhttps://arxiv.org/pdf/2410.11046

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11527097/pdf/nihpp-2410.11046v1.pdf

repositoryhttps://doi.org/10.48550/arxiv.2410.11046

https://doi.org/10.2139/ssrn.5007474

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningFOS: Biological sciencesQuantitative Biology - Quantitative MethodsInformation Retrieval (cs.IR)Quantitative Methods (q-bio.QM)Computer Science - Information RetrievalMachine Learning (cs.LG)