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

Vaeda computationally annotates doublets in single-cell RNA sequencing data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.15.488440Source: DataRank Database

Vaeda computationally annotates doublets in single-cell RNA sequencing data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). 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 (2 grants)OA: greenTopics (13)IDs (PubMed)

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 (2)

Dennis Kostka ORCID,Hannah Schriever ORCID

Live enrichment

PubMed:19965766

National Institutes of Health

Grant: 5T32EB009403-10

Integrated, Interdisciplinary, Inter-university PHD Program Computational Biology

National Institutes of Health

Grant: 5T32EB009403-13

Integrated Interdisciplinary, inter-university PhD Program Computational Biology (T32)

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/04/15/2022.04.15.488440.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.04.15.488440

https://doi.org/10.1093/bioinformatics/btac720

https://doi.org/10.1101/2022.04.15.488440

https://dx.doi.org/10.5281/zenodo.7198945

Fields of Study

0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

Original PaperBiomedical ResearchSequence Analysis, RNAGene Expression Profilingsingle cell RNA sequencingdoublet annotationSingle-Cell AnalysisArtifactsSoftware