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MapperPlus: Agnostic clustering of high-dimension data for precision medicine

PLOS Digital Health(2023)10.1371/journal.pdig.0000307Source: DataRank Database

MapperPlus: Agnostic clustering of high-dimension data for precision medicine is a research paper published in PLOS Digital Health (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (9 grants)Impact (FWCI 0.79)OA: goldTopics (29)IDs (PubMed, PMC, 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)

Aditya Ballal ORCID,Javier E. López ORCID,Leighton T. Izu ORCID,Esha Datta ORCID

Live enrichment

PubMed:37556425 PMC:PMC10411786 OpenAlex:https://openalex.org/W4385694444

NIH

Grant: T32 HL 086350

NIH/NHLBI

Grant: R01HL149431

NIH

Grant: U01 HL 160274

NHLBI NIH HHS

Grant: R35 HL166575

NHLBI NIH HHS

Grant: R01 HL141460

NHLBI NIH HHS

Grant: R01 HL159993

National Institutes of Health

Grant: 3U01HL160274-05S1

A prospective multiethnic HFpEF cohort from California's Central Valley

National Institutes of Health

Grant: 5R01HL149431-03

The Functional Connectome of the Mechanically Loaded Cardiomyocyte

National Institutes of Health

Grant: 2T32HL086350-16A1

Training Program in Basic and Translational Cardiovascular Science

FWCI

0.79

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pdig.0000307

GOLDhttps://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000307&type=printable

publisherhttps://doi.org/10.1371/journal.pdig.0000307

publisherhttps://dx.plos.org/10.1371/journal.pdig.0000307

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37556425

Fields of Study

Advanced Clustering Algorithms ResearchBioinformatics and Genomic NetworksGene expression and cancer classificationMedicineComputer Science02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

InterpretabilityCluster analysisComputer scienceData miningClustering high-dimensional dataDisjoint setsPipeline (software)Machine learningMathematicsBiomedical and Clinical SciencesClinical SciencesComputer applications to medicine. Medical informaticsR858-859.7610Biological SciencesGood Health and Well BeingNetworking and Information Technology R&D (NITRD)Information and Computing SciencesGeneric health relevancePrecision Medicine4.2 Evaluation of markers and technologiesResearch Article

Sustainable Development Goals

SDG 0: Partnerships for the goals