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Robust sparse Bayesian regression for longitudinal gene–environment interactions

Journal of the Royal Statistical Society Series C (Applied Statistics)(2025)10.1093/jrsssc/qlaf027Source: DataRank Database

Robust sparse Bayesian regression for longitudinal gene–environment interactions is a research paper published in Journal of the Royal Statistical Society Series C (Applied Statistics) (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 1.27)OA: greenTopics (17)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)

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Authors (5)

Yu Jiang ORCID,Shuangge Ma ORCID,Weiqun Wang ORCID,Cen Wu ORCID,Kun Fan ORCID

Live enrichment

PubMed:41245172 PMC:PMC12617437 OpenAlex:https://openalex.org/W4409249485

National Institutes of Health

Grant: R01 CA204120

National Institutes of Health

Grant: R15 CA167678

Johnson Cancer Research Center at Kansas State University

FWCI

1.27

Citation Percentile

0.8%

Citation Trend

2025

2026

greenLicense: https://academic.oup.com/pages/standard-publication-reuse-rights

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12617437/

publisherhttps://academic.oup.com/jrsssc/article-pdf/74/5/1372/62890445/qlaf027.pdf

journalhttps://doi.org/10.1093/jrsssc/qlaf027

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41245172

Fields of Study

Gene expression and cancer classificationStatistical Methods and InferenceGenetic and phenotypic traits in livestock

Keywords

Bayesian probabilityRegressionLongitudinal dataArtificial intelligenceComputer scienceEconometricsStatisticsMathematicsData miningMcmc (Markov Chain Monte Carlo)Robust Bayesian Variable SelectionStructured Spike-and-slab PriorsLongitudinal Gene–environment InteractionQuantile Mixed-effects Model