From microbial diversity to function; evaluating dimensionality reduction methods
Emelia J. Chamberlain, William Boulton, Elizabeth J. Connors, Theodore Calianos, Jeff S. Bowman, Jessie M. Creamean, Thomas Möck, Heather H Kim
The paper evaluates dimensionality reduction methods for microbial oceanography data, finding that Self Organizing Maps (SOM) better identify functionally distinct microbial ecotypes than Principal Coordinate Analysis (PCoA).
bioRxiv · Oct 30, 2025 · PreprintEcology