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Nonparametric IPSS: fast, flexible feature selection with false discovery control

Bioinformatics(2025)10.1093/bioinformatics/btaf299Source: DataRank Database

Nonparametric IPSS: fast, flexible feature selection with false discovery control is a research paper published in Bioinformatics (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: goldTopics (26)IDs (PubMed, PMC)

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Authors (3)

David Dunson,Jeffrey W. Miller ORCID,Omar Melikechi ORCID

Live enrichment

PubMed:40358526 PMC:PMC12119134

National Institutes of Health

Grant: R01ES035625

NCI NIH HHS

Grant: R01 CA240299

National Institutes of Health

Grant: 1R01CA240299-01A1

Statistical methods for cancer genomics and cell-free DNA analysis

National Institutes of Health

Grant: 5R01ES035625-03

Improving inferences on health effects of chemical exposures

goldLicense: CC BY

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaf299/63166536/btaf299.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/41/5/btaf299/63166536/btaf299.pdf

Europe_PMChttps://europepmc.org/articles/PMC12119134

Europe_PMChttps://europepmc.org/articles/PMC12119134?pdf=render

https://doi.org/10.1093/bioinformatics/btaf299

Fields of Study

0206 medical engineering02 engineering and technology

MeSH Terms

HumansNeoplasmsMicroRNAsSequence Analysis, RNAComputational BiologyAlgorithmsSoftwareMachine Learning

Keywords

FOS: Computer and information sciencesOriginal PaperSequence Analysis, RNAMethodologyComputational BiologyMachine Learning (stat.ML)Machine Learning (cs.LG)Machine LearningMethodology (stat.ME)MicroRNAsNeoplasmsApplicationsHumansApplications (stat.AP)AlgorithmsSoftware