TY - JOUR AU - Sun, Shiquan AU - Zhu, Jiaqiang AU - Ma, Ying AU - Zhou, Xiang PY - 2019 DA - 2019/12/10 TI - Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis JO - Genome Biology SP - 269 VL - 20 IS - 1 AB - 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 lineage reconstruction. Unfortunately, despite the critical importance of dimensionality reduction in scRNA-seq analysis and the vast number of dimensionality reduction methods developed for scRNA-seq studies, few comprehensive comparison studies have been performed to evaluate the effectiveness of different dimensionality reduction methods in scRNA-seq. SN - 1474-760X UR - https://doi.org/10.1186/s13059-019-1898-6 DO - 10.1186/s13059-019-1898-6 ID - Sun2019 ER -