Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation

Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation

As single-cell RNA sequencing technologies mature, massive gene expression profiles can be obtained. Consequently, cell clustering and annotation become two crucial and fundamental procedures affecting other specific downstream analyses. Most existing single-cell RNA-seq (scRNA-seq) data clustering...

Full description

Bibliographic Details
Main Authors: Liang Chen, Yuyao Zhai, Qiuyan He, Weinan Wang, Minghua Deng
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Genes
Subjects:
single-cell RNA sequencing
clustering and annotation
supervised learning
self-supervised learning
unsupervised learning
Online Access:https://www.mdpi.com/2073-4425/11/7/792

Internet

https://www.mdpi.com/2073-4425/11/7/792

Similar Items