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A novel explainable deep-learning approach for network analysis of epistatic interactions

NAR Genomics and Bioinformatics(2026)10.1093/nargab/lqag004Source: DataRank Database

A novel explainable deep-learning approach for network analysis of epistatic interactions is a research paper published in NAR Genomics and Bioinformatics (2026). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: goldTopics (20)IDs (PubMed, 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 (4)

Georgios Markopoulos ORCID,Evangelos Evangelou ORCID,Aris Anagnostopoulos ORCID,Andrea Mastropietro ORCID

Live enrichment

PubMed:41625145 OpenAlex:https://openalex.org/W7126166249

Ministero dell'Università e della Ricerca

Grant: PE0000013-FAIR

Ministero dell'Università e della Ricerca

Grant: IR0000013-SoBigData.it

Ministero dell'Università e della Ricerca

Grant: 2022EKNE5K

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by-nc

journalhttps://doi.org/10.1093/nargab/lqag004

publisherhttps://doi.org/10.1093/nargab/lqag004

publisherhttps://academic.oup.com/nargab/article-pdf/8/1/lqag004/66639313/lqag004.pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41625145

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12856359/

Fields of Study

Genetic Associations and EpidemiologyBioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

MeSH Terms

Deep LearningAlgorithmsBlood PressureEpistasis, GeneticHumansNeural Networks, ComputerPolymorphism, Single NucleotideGene Regulatory NetworksGenome-Wide Association Study

Keywords

InterpretabilityEpistasisInferenceArtificial neural networkCentralityGene interactionTraitAssociation (psychology)