Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical Model

Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical Model

Single-cell RNA-seq (scRNA-seq) is a powerful tool to measure the expression patterns of individual cells and discover heterogeneity and functional diversity among cell populations. Due to variability, it is challenging to analyze such data efficiently. Many clustering methods have been developed us...

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Bibliographic Details
Main Author: Zhenqiu Liu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Genes
Subjects:
scRNA-seq
cell subpopulation
subspace learning
regularized Gaussian graphical model
parameter-free clustering
Online Access:https://www.mdpi.com/2073-4425/12/2/311

Internet

https://www.mdpi.com/2073-4425/12/2/311

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