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Wide and deep learning based approaches for classification of Alzheimer’s disease using genome-wide association studies

PLoS ONE(2023)10.1371/journal.pone.0283712Source: DataRank Database

Wide and deep learning based approaches for classification of Alzheimer’s disease using genome-wide association studies is a research paper published in PLoS ONE (2023). On theSindex it has a DataRank of 0. It has been cited 14 times.

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Scored on demand from live citation data

Open Access14 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 3.01)OA: goldTopics (41)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

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 (5)

Wasiq Khan ORCID,Abir Hussain ORCID,Dhiya Al‐Jumeily ORCID,for the Alzheimer’s Disease Neuroimaging Initiative,Abbas Saad Alatrany ORCID

Live enrichment

PubMed:37126509 PMC:PMC10150974 OpenAlex:https://openalex.org/W4367598034

Alzheimer's Disease Neuroimaging Initiative

Grant: (National Institutes of Health Grant U01 AG024904)

DOD ADNI

Grant: (Department of Defense award number W81XWH-12-2-0012)

NIA NIH HHS

Grant: U01 AG024904

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

Canadian Institutes of Health Research

Grant: unidentified

unidentified

FWCI

3.01

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0283712&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0283712&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0283712

journalhttps://doi.org/10.1371/journal.pone.0283712

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37126509

Fields of Study

Genetic Associations and EpidemiologyBioinformatics and Genomic NetworksLiver Disease Diagnosis and Treatment02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Deep LearningAlzheimer DiseaseHumansMagnetic Resonance ImagingNeural Networks, ComputerGenome-Wide Association Study

Keywords

Genome-wide association studyFeature selectionGenetic associationArtificial intelligenceDiseasePrincipal component analysisComputer scienceAssociation (psychology)Identification (biology)Machine learningComputational biologyMedicineBiologyGeneticsSingle-nucleotide polymorphismGeneGenotypePathologyPsychologyQA75 Electronic computers. Computer scienceScienceQRMagnetic Resonance ImagingDeep LearningAlzheimer DiseaseHumansNeural Networks, ComputerRC0321 Neuroscience. Biological psychiatry. NeuropsychiatryResearch Article

Sustainable Development Goals

SDG 3: 3. Good health

Wide and deep learning based approaches for classification of Alzheimer’s disease using genome-wide association studies

FAIR Checklist

Authors (5)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)