Abstract
Motivation: We have created EcoPLOT (parameterized linkage of omics-driven technologies), a web-app for the dynamic, interactive analysis of biogeochemical datasets that combines state-of-the-art analysis tools to statistically and graphically explore environmental, geochemical and microbiome datasets. Using the iterative random forest, a machine learning algorithm, EcoPLOT allows for the de novo discovery of drivers which exhibit significant impact on plant, microbial or soil dynamics.
Cite
CITATION STYLE
Sanchez, C. D., Brown, J. B., Gal-Oz, O., & Singer, E. (2022). EcoPLOT: Dynamic analysis of biogeochemical data. Bioinformatics, 38(5), 1480–1482. https://doi.org/10.1093/bioinformatics/btab842
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