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Unsupervised Analysis of Classical Biomedical Markers: Robustness and Medical Relevance of Patient Clustering Using Bioinformatics Tools

MOTIVATION: It has been proposed that clustering clinical markers, such as blood test results, can be used to stratify patients. However, the robustness of clusters formed with this approach to data pre-processing and clustering algorithm choices has not been evaluated, nor has clustering reproducib...

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Detalles Bibliográficos
Autores principales: Markovich Gordon, Michal, Moser, Asher M., Rubin, Eitan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3293863/
https://www.ncbi.nlm.nih.gov/pubmed/22403607
http://dx.doi.org/10.1371/journal.pone.0029578