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Table 1 Categorisation of feature selection methods applied to the single-cell field

From: Feature selection revisited in the single-cell era

 

Category

Methods

Transcriptomics

Epigenomics

Surface proteins

Imaging

Multimodal

Classic

Filter

Univariate

(53–60)

(61–64)

 

(65, 122)

 

Multivariate

(66, 67)

    

Wrapper

Greedy

(68)

 

(69, 70)

  

Nature-inspired

(71, 72)

 

(73)

  

Others

(74, 75)

  

(76)

 

Embedded

Tree-based

(77)

(81)

(82)

(83, 84)

 

Shrinkage

(78, 79)

(62, 81)

(85)

 

(86)

Others

(80)

  

(83)

 

Advanced

Ensemble

 

(87)

    

Hybrid

 

(88–91)

(90)

   

Deep learning

 

(49, 92)

  

(93)

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