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Deep5mC: Predicting 5-methylcytosine (5mC) methylation status using a deep learning transformer approach

Computational and Structural Biotechnology Journal(2025)10.1016/j.csbj.2025.02.007Source: DataRank Database

Deep5mC: Predicting 5-methylcytosine (5mC) methylation status using a deep learning transformer approach is a research paper published in Computational and Structural Biotechnology Journal (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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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 1.22)OA: goldTopics (25)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 (4)

Houssemeddine Derbel,Zhongming Zhao ORCID,Qian Liu ORCID,Evan Kinnear

Live enrichment

PubMed:40041569 PMC:PMC11879672 OpenAlex:https://openalex.org/W4407577842

Cancer Prevention and Research Institute of Texas

Grant: RP180734

Cancer Prevention and Research Institute of Texas

Grant: CPRIT RP240610

NIH National Institute of General Medical Sciences

Grant: P20GM121325

National Institutes of Health

Grant: U01AG079847

National Institutes of Health

Grant: R01LM012806

National Institutes of Health

Grant: 3P20GM121325-03S1

Microglial gene regulation and phagocytosis in prodromal Alzheimer's Disease

National Institutes of Health

Grant: 1R01LM012806-01

Predicting Phenotype by Using Transcriptomic Alteration as Endophenotype

National Institutes of Health

Grant: 5U01AG079847-03

AIM-AI: an Actionable, Integrated and Multiscale genetic map of Alzheimer's disease via deep learning

FWCI

1.22

Citation Percentile

0.8%

Citation Trend

2025

2026

goldLicense: CC BY NC ND

journalhttps://www.csbj.org/article/S2001-0370(25)00034-0/pdf

publisherhttps://www.csbj.org/article/S2001-0370(25)00034-0/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2001037025000340?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2001037025000340?httpAccept=text/plain

publisherhttps://spj.science.org/doi/pdf/10.1016/j.csbj.2025.02.007

Fields of Study

Epigenetics and DNA MethylationRNA modifications and cancerTopic Modeling0206 medical engineering02 engineering and technology

Keywords

5-MethylcytosineMethylationTransformerDNA methylationComputer scienceComputational biologyChemistryBiologyEngineeringBiochemistryGene expressionDNAElectrical engineeringGeneDeep LearningDna Methylation PredictionAssociation Of 5Mc And Genomic SequencesTP248.13-248.65BiotechnologyResearch Article