SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles

Characterization of individual cell types is fundamental to the study of multicellular samples. Single-cell RNAseq techniques, which allow high-throughput expression profiling of individual cells, have significantly advanced our ability of this task. Currently, most of the scRNA-seq data analyses ar...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, Peng, Gao, Mingxuan, Wang, Chunming, Zhang, Jianfei, Noel, Pawan, Yang, Chaoyong, Von Hoff, Daniel, Han, Haiyong, Zhang, Michael Q, Lin, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486558/
https://www.ncbi.nlm.nih.gov/pubmed/30799483
http://dx.doi.org/10.1093/nar/gkz116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486558/
https://www.ncbi.nlm.nih.gov/pubmed/30799483
http://dx.doi.org/10.1093/nar/gkz116

Ejemplares similares