SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement

SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement

Accurate identification of cell types from single-cell RNA sequencing (scRNA-seq) data plays a critical role in a variety of scRNA-seq analysis studies. This task corresponds to solving an unsupervised clustering problem, in which the similarity measurement between cells affects the result significa...

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Bibliographic Details
Main Authors: Zhenlan Liang, Min Li, Ruiqing Zheng, Yu Tian, Xuhua Yan, Jin Chen, Fang-Xiang Wu, Jianxin Wang
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Genomics, Proteomics & Bioinformatics
Subjects:
Single-cell RNA sequencing
Clustering
Cell type
Similarity learning
Enhancement
Online Access:http://www.sciencedirect.com/science/article/pii/S1672022921000383

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http://www.sciencedirect.com/science/article/pii/S1672022921000383

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