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Improve the model of disease subtype heterogeneity by leveraging external summary data

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011236Source: DataRank Database

Improve the model of disease subtype heterogeneity by leveraging external summary data is a research paper published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.22)OA: goldTopics (23)IDs (PubMed, PMC, OpenAlex)

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 (7)

Mark P. Purdue ORCID,Han Zhang ORCID,Jing Qin ORCID,Lei Song ORCID,Sonja I. Berndt ORCID

Live enrichment

PubMed:37437002 PMC:PMC10337985 OpenAlex:https://openalex.org/W4383988567

National Institutes of Health

Grant: NIH Intramural Research Program

FWCI

0.22

Citation Percentile

0.6%

Citation Trend

2024

goldLicense: cc-by

journalhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011236&type=printable

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011236&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1011236

journalhttp://dx.doi.org/10.1371/journal.pcbi.1011236

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37437002

Fields of Study

Genetic Associations and EpidemiologyLymphoma Diagnosis and TreatmentRNA Research and Splicing

MeSH Terms

Computer SimulationHumansLymphoma, Non-HodgkinLogistic ModelsMultifactorial InheritanceGenome-Wide Association Study

Keywords

Logistic regressionDiseaseComputer scienceInformaticsBiostatisticsRegression analysisStatisticsEconometricsData miningMachine learningMedicineInternal medicineEpidemiologyMathematics