Single Cell Self-Paced Clustering with Transcriptome Sequencing Data

Single cell RNA sequencing (scRNA-seq) allows researchers to explore tissue heterogeneity, distinguish unusual cell identities, and find novel cellular subtypes by providing transcriptome profiling for individual cells. Clustering analysis is usually used to predict cell class assignments and infer...

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Detalles Bibliográficos
Autores principales: Zhao, Peng, Xu, Zenglin, Chen, Junjie, Ren, Yazhou, King, Irwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999118/
https://www.ncbi.nlm.nih.gov/pubmed/35409258
http://dx.doi.org/10.3390/ijms23073900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999118/
https://www.ncbi.nlm.nih.gov/pubmed/35409258
http://dx.doi.org/10.3390/ijms23073900

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