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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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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2011
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3116836/ https://ncbi.nlm.nih.gov/pubmed/21698241 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0020747 |
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