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

Comparing phenotypic manifolds with Kompot: Detecting differential abundance and gene expression at single-cell resolution

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.03.657769Source: DataRank Database

Comparing phenotypic manifolds with Kompot: Detecting differential abundance and gene expression at single-cell resolution is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). 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 (7 grants)OA: greenTopics (19)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 (6)

Erica Arriaga-Gomez ORCID,Elana Thieme ORCID,Ruijin Yang ORCID,Stanley Chun-Wei Lee ORCID,Manu Setty ORCID

Live enrichment

PubMed:40501932 OpenAlex:https://openalex.org/W4411116122

National Institutes of Health

Grant: R35GM147125

National Institutes of Health

Grant: R01CA292932

National Institutes of Health

Grant: T32GM136534

National Institutes of Health

Grant: S10OD028685

Grant: Endeavor Award

Grant: Discovery Research Grant

Grant: Pilot Award

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/06/07/2025.06.03.657769.1.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.06.03.657769

repositoryhttps://doi.org/10.1101/2025.06.03.657769

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40501932

Fields of Study

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesGene Regulatory Network Analysis

Keywords

PhenotypeAbundance (ecology)Expression (computer science)GeneGene expressionDifferential (mechanical device)BiologyResolution (logic)CellGeneticsComputational biologyEvolutionary biologyPhysicsComputer scienceArtificial intelligenceEcology

Sustainable Development Goals

SDG 0: Life in Land