Feature selection revisited in the single-cell era

Pengyi Yang, Hao Huang, Chunlei Liu
2021 Genome Biology  
AbstractRecent 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
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doi:10.1186/s13059-021-02544-3 pmid:34847932 pmcid:PMC8638336 fatcat:u62n34lpgzh43mu7mszwm63ls4