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Papers: 10.1371/journal.pone.0196225

https://doi.org/10.1371/journal.pone.0196225

Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering

Cited by: 21
Author(s): Mridul K. Thomas, Simone Fontana, Marta Reyes, Francesco Pomati
Published: over 8 years ago

Software Mentions 2

bioconductor: flowPeaks
An R package for flow data clustering
Papers that mentioned: 11
Very Likely Science (75)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)