Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Unraveling Spatial Gene Associations with SEAGAL: a Python Package for Spatial Transcriptomics Data Analysis and Visualization

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.13.528331Source: DataRank Database

Unraveling Spatial Gene Associations with SEAGAL: a Python Package for Spatial Transcriptomics Data Analysis and Visualization is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

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 (1 grants)OA: greenTopics (24)IDs (PubMed, OpenAlex)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (3)

Chaozhong Liu ORCID,Zhandong Liu ORCID,Linhua Wang ORCID

Live enrichment

PubMed:36824948 OpenAlex:https://openalex.org/W4320481152

National Institutes of Health

Grant: 1P50HD103555-01

Baylor College of Medicine Intellectual and Developmental Disabilities Research Center

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/02/13/2023.02.13.528331.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.02.13.528331

repositoryhttp://dx.doi.org/10.1101/2023.02.13.528331

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36824948

Fields of Study

Single-cell and spatial transcriptomicsBioinformatics and Genomic NetworksGenetic Associations and Epidemiology0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Python (programming language)Spatial analysisComputer scienceVisualizationSource codeTranscriptomeR packageGene expression profilingComputational biologyGeneData miningGene expressionBiologyGeneticsProgramming languageMathematicsStatisticsArticle

Sustainable Development Goals

SDG 0: Life below water