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Longmixr: A tool for robust clustering of high-dimensional cross-sectional and longitudinal variables of mixed data types.
Bioinformatics 40:btae137 (2024)
SUMMARY: Accurate clustering of mixed data, encompassing binary, categorical, and continuous variables, is vital for effective patient stratification in clinical questionnaire analysis. To address this need, we present longmixr, a comprehensive R package providing a robust framework for clustering mixed longitudinal data using finite mixture modeling techniques. By incorporating consensus clustering, longmixr ensures reliable and stable clustering results. Moreover, the package includes a detailed vignette that facilitates cluster exploration and visualization. AVAILABILITY AND IMPLEMENTATION: The R package is freely available at https://cran.r-project.org/package=longmixr with detailed documentation, including a case vignette, at https://cellmapslab.github.io/longmixr/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Domain Criteria Rdoc; R-package; Class Discovery
ISSN (print) / ISBN
1367-4803
Journal
Bioinformatics
Quellenangaben
Volume: 40,
Issue: 4,
Article Number: btae137
Publisher
Oxford University Press
Publishing Place
Oxford
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
Grants
NARSAD Young Investigator Grant
Deutsche Forschungsgemeinschaft
Dr Lisa Oehler Foundation (Kassel, Germany)
Bundesministerium fur Bildung und Forschung (BMBF, Federal Ministry of Education and Research)
National Institute of Aging of the National Institutes of Health
Alzheimer's association award
European Union
Deutsche Forschungsgemeinschaft
Dr Lisa Oehler Foundation (Kassel, Germany)
Bundesministerium fur Bildung und Forschung (BMBF, Federal Ministry of Education and Research)
National Institute of Aging of the National Institutes of Health
Alzheimer's association award
European Union