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...

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Detalles Bibliográficos
Autores principales: Tang, Yachen, Li, Xuefeng, Shi, Mingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Bioinformatics
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

Internet

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

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