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Table 2 Summary of classifiers used in gene expression analysis

From: A new pipeline for structural characterization and classification of RNA-Seq microbiome data

Category

Classifier

References

Metrical and classical

- Probabilistic: Bayesian classifier, probabilistic linear discriminant analysis.

- Non probabilistic: Support Vector Machine (SVM), SVM-RFE, Nearest-neighbor (NN), linear discriminant analysis.

[13, 37,38,39,40,41]

Artificial Intelligence

- Fuzzy Logic, Genetic Algorithms, Classification and Regression trees.

[13, 38, 39, 42, 43]

Boosting

- LogitBoost, AdaBoost.M1, GradientBoosting (GrBoost)

[13, 14, 38, 39, 44]