Ontology highlight
ABSTRACT:
SUBMITTER: Tran D
PROVIDER: S-EPMC7884436 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Tran Duc D Nguyen Hung H Tran Bang B La Vecchia Carlo C Luu Hung N HN Nguyen Tin T
Nature communications 20210215 1
A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level. To address this challenge, we introduce an analysis framework, named single-cell Decomposition using Hierarchical Autoencoder (scDHA), that reliably extracts representative information of each cell. The scDHA pipeline consists of two core modules. The first module is a non-negative kernel autoencoder able to remove genes or components that have insignificant con ...[more]