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LSH-GAN enables in-silico generation of cells for small sample high dimensional scRNA-seq data
A fundamental problem of downstream analysis of scRNA-seq data is the unavailability of enough cell samples compare to the feature size. This is mostly due to the budgetary constraint of single cell experiments or simply because of the small number of available patient samples. Here, we present an i...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187761/ https://www.ncbi.nlm.nih.gov/pubmed/35688990 http://dx.doi.org/10.1038/s42003-022-03473-y |