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Minmers are a generalization of minimizers that enable unbiased local Jaccard estimation

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.16.540882Source: DataRank Database

Minmers are a generalization of minimizers that enable unbiased local Jaccard estimation is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

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Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: greenTopics (12)IDs (PubMed, OpenAlex)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 (4)

Erik Garrison ORCID,Todd J. Treangen ORCID,Adam M. Phillippy ORCID,Bryce Kille ORCID

Live enrichment

PubMed:37325780 OpenAlex:https://openalex.org/W4377019522

NIAID NIH HHS

Grant: P01 AI152999

NIGMS NIH HHS

Grant: R01 GM123489

NLM NIH HHS

Grant: T15 LM007093

NIDA NIH HHS

Grant: U01 DA047638

green

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/18/2023.05.16.540882.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.16.540882

repositoryhttps://doi.org/10.1101/2023.05.16.540882

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37325780

Fields of Study

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Keywords

Jaccard indexGeneralizationMathematicsEstimationComputer scienceMathematical optimizationStatisticsEconomicsMathematical analysis

Sustainable Development Goals

SDG 0: Partnerships for the goals