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A general and flexible method for signal extraction from single-cell RNA-seq data
oleh: Davide Risso, Fanny Perraudeau, Svetlana Gribkova, Sandrine Dudoit, Jean-Philippe Vert
Format: | Article |
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Diterbitkan: | Nature Portfolio 2018-01-01 |
Deskripsi
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.