Edge Principal Components and Squash Clustering: Using the Special Structure of Phylogenetic Placement Data for Sample Comparison

Principal components analysis (PCA) and hierarchical clustering are two of the most heavily used techniques for analyzing the differences between nucleic acid sequence samples taken from a given environment. They have led to many insights regarding the structure of microbial communities. We have dev...

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Detalles Bibliográficos
Autores principales: Matsen IV, Frederick A., Evans, Steven N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3594297/
https://www.ncbi.nlm.nih.gov/pubmed/23505415
http://dx.doi.org/10.1371/journal.pone.0056859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3594297/
https://www.ncbi.nlm.nih.gov/pubmed/23505415
http://dx.doi.org/10.1371/journal.pone.0056859

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