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Table 1 Summary of feature selection approaches in gene expression analysis

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

Category

Description

Weaknesses

References

Filter

- Extract features from the data without any type of learning involved.

- Ignore interaction with the classifier.

[13, 23, 25,26,27,28,29,30]

Wrapper

- Use learning approaches to evaluate which features are useful.

- Risk of overfitting.

- Classifier dependent selection.

[23, 26, 29, 30]

Embedded

- Combine the traditional feature selection step with the classifier construction.

- Classifier dependent selection.

[23, 26, 29,30,31]