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Biclustering reveals potential knee OA phenotypes in exploratory analyses: Data from the Osteoarthritis Initiative
OBJECTIVE: To apply biclustering, a methodology originally developed for analysis of gene expression data, to simultaneously cluster observations and clinical features to explore candidate phenotypes of knee osteoarthritis (KOA) for the first time. METHODS: Data from the baseline Osteoarthritis Init...
Autores principales: | Nelson, Amanda E., Keefe, Thomas H., Schwartz, Todd A., Callahan, Leigh F., Loeser, Richard F., Golightly, Yvonne M., Arbeeva, Liubov, Marron, J. S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129051/ https://www.ncbi.nlm.nih.gov/pubmed/35609053 http://dx.doi.org/10.1371/journal.pone.0266964 |
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