MulCNN: An efficient and accurate deep learning method based on gene embedding for cell type identification in single-cell RNA-seq data

Advancements in single-cell sequencing research have revolutionized our understanding of cellular heterogeneity and functional diversity through the analysis of single-cell transcriptomes and genomes. A crucial step in single-cell RNA sequencing (scRNA-seq) analysis is identifying cell types. Howeve...

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Detalles Bibliográficos
Autores principales: Jiao, Linfang, Ren, Yongqi, Wang, Lulu, Gao, Changnan, Wang, Shuang, Song, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110861/
https://www.ncbi.nlm.nih.gov/pubmed/37082202
http://dx.doi.org/10.3389/fgene.2023.1179859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110861/
https://www.ncbi.nlm.nih.gov/pubmed/37082202
http://dx.doi.org/10.3389/fgene.2023.1179859

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