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V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq data
SUMMARY: Single-cell RNA-sequencing (scRNA-seq) technology enables studying gene expression programs from individual cells. However, these data are subject to diverse sources of variation, including ‘unwanted’ variation that needs to be removed in downstream analyses (e.g. batch effects) and ‘wanted...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267827/ https://www.ncbi.nlm.nih.gov/pubmed/32119082 http://dx.doi.org/10.1093/bioinformatics/btaa128 |