TY  - JOUR
A1  - Wan, Shibiao
A1  - Kim, Junil
A1  - Won, Kyoung Jae
T1  - SHARP: hyperfast and accurate processing of single-cell RNA-seq data via ensemble random projection
Y1  - 2020/02/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 205 
EP  - 213 
DO  - 10.1101/gr.254557.119 
VL  - 30 
IS  - 2 
UR  - http://genome.cshlp.org/content/30/2/205.abstract 
N2  - 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 that is scalable to clustering 10 million cells. Comprehensive benchmarking tests on 17 public scRNA-seq data sets show that SHARP outperforms existing methods in terms of speed and accuracy. Particularly, for large-size data sets (more than 40,000 cells), SHARP runs faster than other competitors while maintaining high clustering accuracy and robustness. To the best of our knowledge, SHARP is the only R-based tool that is scalable to clustering scRNA-seq data with 10 million cells. 
ER  -