Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis
Abstract Background Many computational methods have been developed recently to analyze single-cell RNA-seq (scRNA-seq) data. Several benchmark studies have compared these methods on their ability for dimensionality reduction, clustering, or differential analysis, often relying on default parameters....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-08-01
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| Series: | Genome Biology |
| Online Access: | http://link.springer.com/article/10.1186/s13059-020-02128-7 |