Single Cell Self-Paced Clustering with Transcriptome Sequencing Data

Single Cell Self-Paced Clustering with Transcriptome Sequencing Data

Single cell RNA sequencing (scRNA-seq) allows researchers to explore tissue heterogeneity, distinguish unusual cell identities, and find novel cellular subtypes by providing transcriptome profiling for individual cells. Clustering analysis is usually used to predict cell class assignments and infer...

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Bibliographic Details
Main Authors: Peng Zhao, Zenglin Xu, Junjie Chen, Yazhou Ren, Irwin King
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:International Journal of Molecular Sciences
Subjects:
sequencing data
scRNA-seq
clustering
self-paced learning
nonnegative matrix factorization
Online Access:https://www.mdpi.com/1422-0067/23/7/3900

Internet

https://www.mdpi.com/1422-0067/23/7/3900

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