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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)