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A comprehensive large scale biomedical knowledge graph for AI powered data driven biomedical research

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.13.562216Source: DataRank Database

A comprehensive large scale biomedical knowledge graph for AI powered data driven biomedical research is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 11 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access11 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (15)IDs (PubMed, OpenAlex)

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 (20)

Xin Sui ORCID,Feng Pan ORCID,Kaixian Yu ORCID,Keqiao Li,Shubo Tian ORCID

Live enrichment

PubMed:38168218 OpenAlex:https://openalex.org/W4387730759

NCI NIH HHS

Grant: 75N91019D00024

NIGMS NIH HHS

Grant: R01 GM126558

NIAID NIH HHS

Grant: 75N93024C00034

NCI NIH HHS

Grant: 75N91024C00007

NLM NIH HHS

Grant: R21 LM014277

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/10/17/2023.10.13.562216.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.10.13.562216

repositoryhttps://doi.org/10.1101/2023.10.13.562216

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38168218

Fields of Study

Bioinformatics and Genomic NetworksBiomedical Text Mining and OntologiesComputational Drug Discovery Methods

Keywords

Computer scienceInferenceRepurposingData sciencePipeline (software)Information extractionConstruct (python library)Identification (biology)Relationship extractionInformation retrievalArtificial intelligenceEngineering