TransCluster: A Cell-Type Identification Method for single-cell RNA-Seq data using deep learning based on transformer

Recent advances in single-cell RNA sequencing (scRNA-seq) have accelerated the development of techniques to classify thousands of cells through transcriptome profiling. As more and more scRNA-seq data become available, supervised cell type classification methods using externally well-annotated sourc...

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Detalles Bibliográficos
Autores principales: Song, Tao, Dai, Huanhuan, Wang, Shuang, Wang, Gan, Zhang, Xudong, Zhang, Ying, Jiao, Linfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592860/
https://www.ncbi.nlm.nih.gov/pubmed/36303549
http://dx.doi.org/10.3389/fgene.2022.1038919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592860/
https://www.ncbi.nlm.nih.gov/pubmed/36303549
http://dx.doi.org/10.3389/fgene.2022.1038919

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