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

scDEED: a statistical method for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.21.537839Source: DataRank Database

scDEED: a statistical method for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access5 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 (5 grants)OA: greenTopics (13)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)

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)

Christy Lee,Jingyi Jessica Li ORCID,Lucy Xia ORCID

Live enrichment

PubMed:37163087 OpenAlex:https://openalex.org/W4366997549

NSF grant

Grant: DGE-1829071

National Science Foundation

Grant: DBI-1846216

National Science Foundation

Grant: DMS-2113754

NIGMS NIH HHS

Grant: R01 GM120507

NIGMS NIH HHS

Grant: R35 GM140888

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/09/15/2023.04.21.537839.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.04.21.537839

repositoryhttps://doi.org/10.1101/2023.04.21.537839

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37163087

Fields of Study

Single-cell and spatial transcriptomicsAdvanced Fluorescence Microscopy TechniquesCell Image Analysis Techniques

Keywords

HyperparameterEmbeddingComputer scienceReliability (semiconductor)VisualizationTrustworthinessArtificial intelligenceData miningMachine learningPattern recognition (psychology)