Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis
Abstract Background Dimensionality reduction is an indispensable analytic component for many areas of single-cell RNA sequencing (scRNA-seq) data analysis. Proper dimensionality reduction can allow for effective noise removal and facilitate many downstream analyses that include cell clustering and l...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-12-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-019-1898-6 |