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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| 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 |