Ontology highlight
ABSTRACT:
SUBMITTER: Xiong J
PROVIDER: S-EPMC7587292 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Xiong Jiankang J Gong Fuzhou F Wan Lin L Ma Liang L
Frontiers in genetics 20201006
The dramatic increase in amount and size of single-cell RNA sequencing data calls for more efficient and scalable dimensional reduction and visualization tools. Here, we design a GPU-accelerated method, NeuralEE, which aggregates the advantages of elastic embedding and neural network. We show that NeuralEE is both scalable and generalizable in dimensional reduction and visualization of large-scale scRNA-seq data. In addition, the GPU-based implementation of NeuralEE makes it applicable to limite ...[more]