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A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.02.486242Source: DataRank Database

A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 5 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (21)IDs (PubMed)

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Authors (12)

Emma Dempster ORCID,Eilís Hannon ORCID,Jonathan Mill ORCID,Richie Poulton ORCID,David L. Corcoran ORCID

Live enrichment

PubMed:19910364

National Institutes of Health

Grant: 3R01AG032282-09S1

Aging in 1000 healthy young adults: the Dunedin Study

Science Foundation Ireland

Grant: 18/CRT/6183

SFI Centre for Research Training in Machine Learning

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/04/03/2022.04.02.486242.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.04.02.486242

repositoryhttps://figshare.com/articles/journal_contribution/A_comparison_of_feature_selection_methodologies_and_learning_algorithms_in_the_development_of_a_DNA_methylation-based_telomere_length_estimator/29796857

Europe_PMChttps://europepmc.org/article/PPR/PPR477030

Europe_PMChttps://europepmc.org/api/fulltextRepo?pprId=PPR477030&type=FILE&fileName=EMS144151-pdf.pdf&mimeType=application/pdf

Fields of Study

0301 basic medicine03 medical and health sciences

Keywords

EpigenomicsAgingQH301-705.5ResearchComputer applications to medicine. Medical informaticsR858-859.7610Telomere HomeostasisDNA Methylation004Machine Learningfeature selectiontelomere lengthRegression AnalysisHumansFeature ReductionComputer EngineeringBiology (General)Algorithms