SHARP: Single-cell RNA-seq Hyper-fast and Accurate Processing via Ensemble Random Projection

摘要: To process large-scale single-cell RNA-sequencing (scRNA-seq) data effectively without excessive distortion during dimension reduction, we present SHARP, an ensemble random projection-based algorithm which is scalable to clustering 10 million cells. Comprehensive benchmarking tests on 17 public scRNA-seq datasets demonstrate that SHARP outperforms existing methods in terms of speed and accuracy. Particularly, for large-size (>40,000 cells), SHARP9s running far excels other competitors while maintaining high accuracy robustness. the best our knowledge, only R-based tool with