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Fast and interpretable consensus clustering via minipatch learning

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010577Source: DataRank Database

Fast and interpretable consensus clustering via minipatch learning is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0. It has been cited 12 times.

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Open Access12 citations

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Linked data & code

Fast and Interpretable Consensus Clustering via Minipatch Learning · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.71)OA: goldTopics (23)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (2)

Genevera I. Allen,Luqin Gan ORCID

Live enrichment

PubMed:36191044 PMC:PMC9560608 OpenAlex:https://openalex.org/W3201843904

National Science Foundation

Grant: DMS-1554821

National Institutes of Health

Grant: 1R01GM140468

FWCI

0.71

Citation Percentile

0.6%

Influential Citations

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pcbi.1010577

GOLDhttps://doi.org/10.1371/journal.pcbi.1010577

publisherhttps://doi.org/10.1371/journal.pcbi.1010577

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1010577

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36191044

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationBioinformatics and Genomic NetworksComputer ScienceMedicineMathematicsBiology

MeSH Terms

AlgorithmsReproducibility of ResultsCluster AnalysisComputational BiologyConsensus

Keywords

Cluster analysisInterpretabilityComputer scienceConsensus clusteringData miningClustering high-dimensional dataStability (learning theory)Machine learningArtificial intelligenceCorrelation clusteringCURE data clustering algorithm

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure

Fast and Interpretable Consensus Clustering via Minipatch Learning

10.48550/arxiv.2110.02388arXiv