An Adaptive Sparse Subspace Clustering for Cell Type Identification

An Adaptive Sparse Subspace Clustering for Cell Type Identification

The rapid development of single-cell transcriptome sequencing technology has provided us with a cell-level perspective to study biological problems. Identification of cell types is one of the fundamental issues in computational analysis of single-cell data. Due to the large amount of noise from sing...

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Bibliographic Details
Main Authors: Ruiqing Zheng, Zhenlan Liang, Xiang Chen, Yu Tian, Chen Cao, Min Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Genetics
Subjects:
single cell RNA-seq
subspace clustering
adaptive sparse strategy
similarity learning
visualization
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00407/full

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https://www.frontiersin.org/article/10.3389/fgene.2020.00407/full

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