A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering

A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering

One advantage of single-cell RNA sequencing is its ability in revealing cell heterogeneity by cell clustering. However, cell clustering based on single-cell RNA sequencing is challenging due to the high transcript amplification noise, sparsity and outlier cell populations. In this study, we propose...

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Bibliographic Details
Main Authors: Jujuan Zhuang, Lingyu Cui, Tianqi Qu, Changjing Ren, Junlin Xu, Tianbao Li, Geng Tian, Jialiang Yang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Linearized alternating direction method of multipliers
low-rank representation
single-cell RNA sequencing
sparse subspace clustering
Online Access:https://ieeexplore.ieee.org/document/9316660/

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