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

A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data

Biometrics(2025)10.1093/biomtc/ujaf005Source: DataRank Database

A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data is a research paper published in Biometrics (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:

Linked data & code

doi

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 (9 grants)Impact (FWCI 0.00)OA: greenTopics (42)IDs (PubMed, PMC, OpenAlex)Annotations (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 (5)

Lei Yu ORCID,Lei Guo ORCID,Lin Xu ORCID,Qiwei Li ORCID,Yanghong Guo

Live enrichment

PubMed:39887052 PMC:PMC11783250 OpenAlex:https://openalex.org/W4407036244

National Science Foundation

Grant: 2210912

National Science Foundation

Grant: 2113674

National Institutes of Health

Grant: 1R01GM141519

National Institutes of Health

Grant: R01DK127037

National Institutes of Health

Grant: R01CA263079

National Institutes of Health

Grant: R21CA259771

National Institutes of Health

Grant: UM1HG011996

National Institutes of Health

Grant: R01HL144969

NIGMS NIH HHS

Grant: R01 GM141519

FWCI

0.00

Citation Percentile

0.0%

greenLicense: https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11783250/

publisherhttps://academic.oup.com/biometrics/article-pdf/81/1/ujaf005/61710929/ujaf005.pdf

journalhttps://doi.org/10.1093/biomtc/ujaf005

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39887052

Fields of Study

Single-cell and spatial transcriptomicsBioinformatics and Genomic NetworksGene expression and cancer classificationHumansBayes TheoremSingle-Cell AnalysisCOVID-19Lung NeoplasmsCarcinoma, Non-Small-Cell LungPulmonary FibrosisRegression AnalysisModels, StatisticalSARS-CoV-2Sequence Analysis, RNA

MeSH Terms

COVID-19SARS-CoV-2Bayes TheoremCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsPulmonary FibrosisRegression AnalysisModels, StatisticalSequence Analysis, RNASingle-Cell Analysis

Keywords

Bayesian probabilityDirichlet distributionComputational biologyMultinomial distributionRegressionComputer scienceStatisticsBioinformaticsMedicineBiologyMathematicsArtificial intelligenceIntegrative AnalysisSingle-cell Rna SequencingHierarchical TreeSpike-and-slap PriorsDirichlet-multinomial Regression Models

A regularized Bayesian Dirichlet-multinomial regression model for integrating single-cell-level omics and patient-level clinical study data

FAIR Checklist

Authors (5)

Funding (9 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)