Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10889871 | Journal of Microbiological Methods | 2005 | 14 Pages |
Abstract
Compared to Principal Components Analysis and cluster analysis, SOM appeared as a valuable tool for community classification, and to establish clear relationships between clusters of bacterial communities and sole-carbon sources utilization. Specifically, SOM offered a clear bidimensional projection of a relatively large volume of data and were easier to interpret than plots commonly obtained with multivariate analyses. They would be recommended to pattern the temporal evolution of communities' functional diversity.
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Authors
Joséphine Leflaive, Régis Céréghino, Michaël Danger, Gérard Lacroix, Loïc Ten-Hage,