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An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data
Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene expression at the resolution of individual cells. While there have been methods and software specifically developed to analyze scRNA-seq data, they are most accessible to users who program. We have created a scRNA...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000 Research Limited
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611141/ https://www.ncbi.nlm.nih.gov/pubmed/31316748 http://dx.doi.org/10.12688/f1000research.15830.2 |