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Bayesian gene set benchmark dose estimation for “omic” responses

Bioinformatics(2024)10.1093/bioinformatics/btaf008Source: DataRank Database

Bayesian gene set benchmark dose estimation for “omic” responses is a research paper published in Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 0.16)OA: goldTopics (39)IDs (PubMed, PMC, 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)

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Authors (6)

Kyle P. Messier ORCID,John S. House ORCID,Fred Parham ORCID,Scott S. Auerbach ORCID,Matthew W. Wheeler ORCID

Live enrichment

PubMed:39786864 PMC:PMC11783320 OpenAlex:https://openalex.org/W4406213391

Intramural NIH HHS

Grant: ZIA ES103368

National Institute of Environmental Health Sciences, Division of Translational Toxicology, Division of Intramural Research

FWCI

0.16

Citation Percentile

0.5%

Citation Trend

2025

goldLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaf008/61396816/btaf008.pdf

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaf008/61396816/btaf008.pdf

journalhttps://doi.org/10.1093/bioinformatics/btaf008

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39786864

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11783320

Fields of Study

Gene expression and cancer classificationCarcinogens and Genotoxicity AssessmentStatistical Methods in Clinical TrialsAnimalsBayes TheoremRatsGene Expression ProfilingBenchmarkingDose-Response Relationship, DrugSoftware

MeSH Terms

AnimalsBayes TheoremDose-Response Relationship, DrugSoftwareBenchmarkingGene Expression ProfilingRatsTranscriptome

Keywords

UnivariateBenchmark (surveying)Multivariate statisticsComputer scienceBayesian probabilitySet (abstract data type)CorrelationData miningComputational biologyPearson product-moment correlation coefficientMultivariate analysisToxicogenomicsBioinformaticsStatisticsGeneMachine learningBiologyArtificial intelligenceGene expressionMathematicsGenetics