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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| 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 |