Ontology highlight
ABSTRACT:
SUBMITTER: Song J
PROVIDER: S-EPMC7897472 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Song Jia J Liu Yao Y Zhang Xuebing X Wu Qiuyue Q Gao Juan J Wang Wei W Li Jin J Song Yanling Y Yang Chaoyong C
Nucleic acids research 20210201 3
Single-cell RNA sequencing enables us to characterize the cellular heterogeneity in single cell resolution with the help of cell type identification algorithms. However, the noise inherent in single-cell RNA-sequencing data severely disturbs the accuracy of cell clustering, marker identification and visualization. We propose that clustering based on feature density profiles can distinguish informative features from noise. We named such strategy as 'entropy subspace' separation and designed a cel ...[more]