Hierarchical Clustering Analyses of Plasma Proteins in Subjects With Cardiovascular Risk Factors Identify Informative Subsets Based on Differential Levels of Angiogenic and Inflammatory Biomarkers

Agglomerative hierarchical clustering analysis (HCA) is a commonly used unsupervised machine learning approach for identifying informative natural clusters of observations. HCA is performed by calculating a pairwise dissimilarity matrix and then clustering similar observations until all observations...

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Detalles Bibliográficos
Autores principales: Winder, Zachary, Sudduth, Tiffany L., Fardo, David, Cheng, Qiang, Goldstein, Larry B., Nelson, Peter T., Schmitt, Frederick A., Jicha, Gregory A., Wilcock, Donna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016016/
https://www.ncbi.nlm.nih.gov/pubmed/32116527
http://dx.doi.org/10.3389/fnins.2020.00084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016016/
https://www.ncbi.nlm.nih.gov/pubmed/32116527
http://dx.doi.org/10.3389/fnins.2020.00084

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