A general and flexible method for signal extraction from single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) data provides information on transcriptomic heterogeneity within cell populations. Here, Risso et al develop ZINB-WaVE for low-dimensional representations of scRNA-seq data that account for zero inflation, over-dispersion, and the count nature of the data.
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-017-02554-5 |