Single-cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework-Reference-Cited by-同舟云学术

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Single-cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework

Published:2020 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Wang ChuanYuan,Gao Ying-Lian,Liu Jin-Xing,Kong Xiong-Zhen,Zheng Chun-Hou

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09216487.pdf?arnumber=9216487

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy self-consistent clustering ensemble;Applied Soft Computing;2024-01

2. Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-11

3. KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification;Computational Biology and Chemistry;2023-06

4. Integrating Multiple Single-Cell RNA Sequencing Datasets Using Adversarial Autoencoders;International Journal of Molecular Sciences;2023-03-13

5. Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering;Journal of Chemical Information and Modeling;2022-12-02

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