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NetBoxR: Automated Discovery of Biological Process Modules by Network Analysis in R

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.02.129387Source: DataRank Database

NetBoxR: Automated Discovery of Biological Process Modules by Network Analysis in R is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0.104. It has been cited 1 time, with 1 citing works in its 1-hop citation network.

N/A

0.104DataRank · unranked

Scored on demand from live citation data

Open Access1 citations · 1 citing works in its network

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (30)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 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

From 0 citing papers with measurable signal

This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.

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Authors (4)

Augustin Luna ORCID,Guanlan Dong ORCID,Chris Sander ORCID,Eric Minwei Liu ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3033854846

National Institutes of Health

Grant: 5F32CA192901-03

Chemogenomic Analysis of the NCI Therapeutic Compound Database

National Institutes of Health

Grant: 5U41HG006623-06

Pathway Commons: Research Resource for Biological Pathways

National Institutes of Health

Grant: 2P41GM103504-06

Core_Training

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/06/02/2020.06.02.129387.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.06.02.129387

repositoryhttps://doi.org/10.1101/2020.06.02.129387

https://doi.org/10.1371/journal.pone.0234669

Fields of Study

Bioinformatics and Genomic NetworksGene expression and cancer classificationGenetic Associations and Epidemiology0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

BioconductorComputer scienceCluster analysisComputational biologyData miningBiologyGeneArtificial intelligenceGeneticsGenome, HumanScienceQRGenomicsNeoplasmsBiomarkers, TumorMedicineHumansGene Regulatory NetworksProgramming LanguagesAlgorithmsMetabolic Networks and PathwaysSoftwareResearch Article

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Partnerships for the goals