Simplivariate Models: Uncovering the Underlying Biology in Functional Genomics Data

One of the first steps in analyzing high-dimensional functional genomics data is an exploratory analysis of such data. Cluster Analysis and Principal Component Analysis are then usually the method of choice. Despite their versatility they also have a severe drawback: they do not always generate simp...

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Detalles Bibliográficos
Autores principales: Saccenti, Edoardo, Westerhuis, Johan A., Smilde, Age K., van der Werf, Mariët J., Hageman, Jos A., Hendriks, Margriet M. W. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116836/
https://www.ncbi.nlm.nih.gov/pubmed/21698241
http://dx.doi.org/10.1371/journal.pone.0020747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116836/
https://www.ncbi.nlm.nih.gov/pubmed/21698241
http://dx.doi.org/10.1371/journal.pone.0020747

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