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An extensive multi-variant deep neural network approach to enhance genomic prediction of endometriosis

Neurocomputing(2025)10.1016/j.neucom.2025.131496Source: DataRank Database

An extensive multi-variant deep neural network approach to enhance genomic prediction of endometriosis is a research paper published in Neurocomputing (2025). On theSindex it has a DataRank of 0.104. It has been cited 1 time.

N/A

0.104DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

Free full text

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.97)OA: hybridTopics (15)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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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Authors (7)

Lin Hua ORCID,Yue Yang ORCID,Mark Grosser ORCID,Mengjia Wu ORCID,Yanmin Zhang ORCID

Live enrichment

PubMed:19022398 OpenAlex:https://openalex.org/W4414229965

Australian Research Council

Grant: LP210100414

Linkage Projects - Grant ID: LP210100414

Australian Research Council

Grant: 105141

FWCI

0.97

Citation Percentile

0.8%

Citation Trend

2026

hybridLicense: cc-by

journalhttps://doi.org/10.1016/j.neucom.2025.131496

publisherhttps://doi.org/10.1016/j.neucom.2025.131496

publisherhttps://api.elsevier.com/content/article/PII:S092523122502168X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S092523122502168X?httpAccept=text/plain

Fields of Study

Endometriosis Research and TreatmentEndometrial and Cervical Cancer TreatmentsCervical Cancer and HPV Research0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Deep learningGenome-wide association studyBiobankGenomicsArtificial neural networkGenetic architecturePrecision medicineIn silicoPersonalized medicineLasso (programming language)