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LIDER: cell embedding based deep neural network classifier for supervised cell type identification
BACKGROUND: Automatic cell type identification has been an urgent task for the rapid development of single-cell RNA-seq techniques. Generally, the current approach for cell type identification is to generate cell clusters by unsupervised clustering and later assign labels to each cell cluster with m...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439717/ https://www.ncbi.nlm.nih.gov/pubmed/37601262 http://dx.doi.org/10.7717/peerj.15862 |