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Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis

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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. |

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