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Review
. 2021 Dec 1;22(1):321.
doi: 10.1186/s13059-021-02544-3.

Feature selection revisited in the single-cell era

Pengyi Yang  1   2   3 , Hao Huang  4   5 , Chunlei Liu  5
Affiliations
Review

Feature selection revisited in the single-cell era

Pengyi Yang et al. Genome Biol. .

Abstract

Recent advances in single-cell biotechnologies have resulted in high-dimensional datasets with increased complexity, making feature selection an essential technique for single-cell data analysis. Here, we revisit feature selection techniques and summarise recent developments. We review their application to a range of single-cell data types generated from traditional cytometry and imaging technologies and the latest array of single-cell omics technologies. We highlight some of the challenges and future directions and finally consider their scalability and make general recommendations on each type of feature selection method. We hope this review stimulates future research and application of feature selection in the single-cell era.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Schematic illustrations of typical filter (a), wrapper (b) and embedded methods (c) in feature selection
Fig. 2
Fig. 2
A schematic summary of some recent multimodal single-cell omics technologies
See this image and copyright information in PMC

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