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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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2011
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| Accès en ligne: | https://doaj.org/article/bb15782ee0bd4a54b84c243b5cfc4c75 |
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