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The probability of edge existence due to node degree: a baseline for network-based predictions

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.05.522939Source: DataRank Database

The probability of edge existence due to node degree: a baseline for network-based predictions is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.365. It has been cited 5 times, with 3 citing works in its 1-hop citation network.

N/A

0.365DataRank · unranked

Scored on demand from live citation data

Open Access5 citations · 3 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (25)IDs (PubMed, OpenAlex)SDGs (2)

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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DataRank Breakdown

Base Score 74%Citation Network 26%

Base Score Contribution

0.269

From this paper's citation signal

Citation Network Contribution

0.0967

From 3 citing papers with measurable signal

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Top 3 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 3 citers.

Elucidating the semantics-topology trade-off for knowledge inference-based pharmacological discovery
Journal of Biomedical Semantics20247 citations30 referencesContributes 0.069
Network modeling helps to tackle the complexity of drug–disease systems
WIREs Mechanisms of Disease20235 citations65 referencesContributes 0.028
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery
bioRxiv (Cold Spring Harbor Laboratory)20212 citations65 referencesContributes 0.017

Authors (6)

Daniel S. Himmelstein ORCID,Kyle Kloster ORCID,Christopher K. I. Williams ORCID,Michael W. Nagle ORCID,Casey S. Greene ORCID

Live enrichment

PubMed:36711569 OpenAlex:https://openalex.org/W3014643521

National Institutes of Health

Grant: 5R01HG010067-05

Network-based algorithms for target identification and drug repositioning from genetic associations

NHGRI NIH HHS

Grant: R01 HG010067

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/01/06/2023.01.05.522939.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.01.05.522939

repositoryhttp://dx.doi.org/10.1101/2023.01.05.522939

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36711569

Fields of Study

Bioinformatics and Genomic NetworksComputational Drug Discovery MethodsGene expression and cancer classification0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Degree (music)Enhanced Data Rates for GSM EvolutionComputer scienceDegree distributionNode (physics)Permutation (music)Bipartite graphFraction (chemistry)Baseline (sea)Data miningComplex networkArtificial intelligenceTheoretical computer scienceGraphBiologyTechnical NoteArticleAlgorithmsProbability

Sustainable Development Goals

SDG 0: Reduced inequalitiesSDG 0: Peace, Justice and strong institutions