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Leveraging permutation testing to assess confidence in positive-unlabeled learning applied to high-dimensional biological datasets

BMC Bioinformatics(2024)10.1186/s12859-024-05834-2Source: DataRank Database

Leveraging permutation testing to assess confidence in positive-unlabeled learning applied to high-dimensional biological datasets is a research paper published in BMC Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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Enrichment:Funding (3 grants)Impact (FWCI 0.46)OA: goldTopics (35)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

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 (2)

Margaret E. Ackerman ORCID,Shiwei Xu ORCID

Live enrichment

PubMed:38898392 PMC:PMC11186207 OpenAlex:https://openalex.org/W4399802217

National Institutes of Health

Grant: R56AI165448

National Institutes of Health

Grant: 1R56AI165448-01A1

New analytic approaches and endpoints in human HIV vaccine correlate studies

National Institutes of Health

Grant: 1P01AI162242-01

Impact of Antibody Effector Function Diversity on Antiviral Activity In Situ

FWCI

0.46

Citation Percentile

0.7%

Citation Trend

2025

goldLicense: cc-by

journalhttps://doi.org/10.1186/s12859-024-05834-2

publisherhttps://doi.org/10.1186/s12859-024-05834-2

publisherhttps://link.springer.com/content/pdf/10.1186/s12859-024-05834-2.pdf

publisherhttps://link.springer.com/article/10.1186/s12859-024-05834-2/fulltext.html

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38898392

Fields of Study

Machine Learning and Data ClassificationGene expression and cancer classificationMachine Learning in Bioinformatics0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Machine LearningSupervised Machine LearningAlgorithmsHumansComputational Biology

Keywords

Machine learningArtificial intelligenceComputer scienceGround truthRobustness (evolution)Benchmark (surveying)InferencePermutation (music)False positive paradoxPattern recognition (psychology)Data miningPermutation TestingPositive-unlabeled LearningHigh-dimensional Biological DataSemi-supervised Machine LearningQH301-705.5ResearchComputer applications to medicine. Medical informaticsR858-859.7Computational BiologyHumansSupervised Machine LearningBiology (General)Algorithms

Sustainable Development Goals

SDG 0: Quality Education