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

A novel Bayesian hierarchical model for detecting differential circadian pattern in transcriptomic applications

Briefings in Bioinformatics(2025)10.1093/bib/bbaf139Source: DataRank Database

A novel Bayesian hierarchical model for detecting differential circadian pattern in transcriptomic applications is a research paper published in Briefings in Bioinformatics (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

geo

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)Impact (FWCI 0.00)OA: goldTopics (26)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (4)

Haocheng Ding ORCID,Zhiguang Huo ORCID,Li Chen ORCID,Yutao Zhang ORCID

Live enrichment

PubMed:40234105 PMC:PMC11998590 OpenAlex:https://openalex.org/W4409477295

National Institutes of Health

Grant: R35GM142701

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by-nc

journalhttps://academic.oup.com/bib/article-pdf/26/2/bbaf139/62930866/bbaf139.pdf

publisherhttps://academic.oup.com/bib/article-pdf/26/2/bbaf139/62930866/bbaf139.pdf

journalhttps://doi.org/10.1093/bib/bbaf139

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40234105

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11998590

Fields of Study

Circadian rhythm and melatoninMetabolomics and Mass Spectrometry Studies

MeSH Terms

AlgorithmsBayes TheoremCircadian RhythmHumansComputational BiologyGene Expression ProfilingTranscriptome

Keywords

Circadian rhythmContext (archaeology)Bayesian probabilityDifferential (mechanical device)Computer scienceFlexibility (engineering)Machine learningComputational biologyArtificial intelligenceBiologyStatisticsMathematicsEndocrinologyEngineeringTranscriptomeBayesian methodDifferential Circadian Pattern

Sustainable Development Goals

SDG 0: Good health and well-being

A novel Bayesian hierarchical model for detecting differential circadian pattern in transcriptomic applications

FAIR Checklist

Authors (4)

Funding (1 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)