Ontology highlight
ABSTRACT:
SUBMITTER: Xie K
PROVIDER: S-EPMC7671411 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Xie Kaikun K Huang Yu Y Zeng Feng F Liu Zehua Z Chen Ting T
NAR genomics and bioinformatics 20201009 4
Recent advancements in both single-cell RNA-sequencing technology and computational resources facilitate the study of cell types on global populations. Up to millions of cells can now be sequenced in one experiment; thus, accurate and efficient computational methods are needed to provide clustering and post-analysis of assigning putative and rare cell types. Here, we present a novel unsupervised deep learning clustering framework that is robust and highly scalable. To overcome the high level of ...[more]