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Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis

BACKGROUND: Feature selection is an essential task in single-cell RNA-seq (scRNA-seq) data analysis and can be critical for gene dimension reduction and downstream analyses, such as gene marker identification and cell type classification. Most popular methods for feature selection from scRNA-seq dat...

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Detalles Bibliográficos
Autores principales:	Huang, Hao, Liu, Chunlei, Wagle, Manoj M., Yang, Pengyi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638755/ https://www.ncbi.nlm.nih.gov/pubmed/37950331 http://dx.doi.org/10.1186/s13059-023-03100-x

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