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Tree-based additive noise directed acyclic graphical models for nonlinear causal discovery with interactions

Biometrics(2025)10.1093/biomtc/ujaf089Source: DataRank Database

Tree-based additive noise directed acyclic graphical models for nonlinear causal discovery with interactions is a research paper published in Biometrics (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 1.13)OA: greenTopics (39)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Kejun He ORCID,Yang Ni ORCID,Fangting Zhou ORCID

Live enrichment

PubMed:40705488 OpenAlex:https://openalex.org/W4412629662

National Key Research and Development Program of China

Grant: 2023YFC3304701

NIH

Grant: 1R01GM148974

NSF

Grant: DMS-2112943

NIGMS NIH HHS

Grant: R01 GM148974

FWCI

1.13

Citation Percentile

0.8%

Citation Trend

2025

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

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12288665/

publisherhttps://academic.oup.com/biometrics/article-pdf/81/3/ujaf089/63841005/ujaf089.pdf

journalhttps://doi.org/10.1093/biomtc/ujaf089

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40705488

Fields of Study

Bayesian Modeling and Causal InferenceGene Regulatory Network AnalysisComputational Drug Discovery MethodsAlgorithmsCausalityNonlinear DynamicsHumansModels, StatisticalComputer SimulationBiometry

MeSH Terms

AlgorithmsBiometryComputer SimulationHumansModels, StatisticalCausalityNonlinear Dynamics

Keywords

InterpretabilityIdentifiabilityComputer scienceCausal modelGraphical modelBiological networkTree (set theory)Directed acyclic graphGeneralized additive modelRecursive partitioningNoise (video)Machine learningTheoretical computer scienceArtificial intelligenceMathematicsAlgorithmTreeBayesian networkCausal InteractionStructural Equation modelAdditive Noise ModelCausal Identifiability