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Embracing the dropouts in single-cell RNA-seq analysis
One primary reason that makes single-cell RNA-seq analysis challenging is dropouts, where the data only captures a small fraction of the transcriptome of each cell. Almost all computational algorithms developed for single-cell RNA-seq adopted gene selection, dimension reduction or imputation to addr...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054558/ https://www.ncbi.nlm.nih.gov/pubmed/32127540 http://dx.doi.org/10.1038/s41467-020-14976-9 |