Feature selection revisited in the single-cell era

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 thei...

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Autores principales:	Pengyi Yang, Hao Huang, Chunlei Liu
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Biology (General) QH301-705.5 Genetics QH426-470
Acceso en línea:	https://doaj.org/article/c03b3bfc7c784d8289b0046dc524552b
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spelling	oai:doaj.org-article:c03b3bfc7c784d8289b0046dc524552b2021-12-05T12:25:34ZFeature selection revisited in the single-cell era10.1186/s13059-021-02544-31474-760Xhttps://doaj.org/article/c03b3bfc7c784d8289b0046dc524552b2021-12-01T00:00:00Zhttps://doi.org/10.1186/s13059-021-02544-3https://doaj.org/toc/1474-760XAbstract 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.Pengyi YangHao HuangChunlei LiuBMCarticleBiology (General)QH301-705.5GeneticsQH426-470ENGenome Biology, Vol 22, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5 Genetics QH426-470
spellingShingle	Biology (General) QH301-705.5 Genetics QH426-470 Pengyi Yang Hao Huang Chunlei Liu Feature selection revisited in the single-cell era
description	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.
format	article
author	Pengyi Yang Hao Huang Chunlei Liu
author_facet	Pengyi Yang Hao Huang Chunlei Liu
author_sort	Pengyi Yang
title	Feature selection revisited in the single-cell era
title_short	Feature selection revisited in the single-cell era
title_full	Feature selection revisited in the single-cell era
title_fullStr	Feature selection revisited in the single-cell era
title_full_unstemmed	Feature selection revisited in the single-cell era
title_sort	feature selection revisited in the single-cell era
publisher	BMC
publishDate	2021
url	https://doaj.org/article/c03b3bfc7c784d8289b0046dc524552b
work_keys_str_mv	AT pengyiyang featureselectionrevisitedinthesinglecellera AT haohuang featureselectionrevisitedinthesinglecellera AT chunleiliu featureselectionrevisitedinthesinglecellera
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Feature selection revisited in the single-cell era

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