Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering-Reference-Cited by-同舟云学术

Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering

Published:2022-12-02 Issue:23 Volume:62 Page:6271-6286
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Shu Zhenqiu¹^ORCID,Long Qinghan¹,Zhang Luping²,Yu Zhengtao¹,Wu Xiao-Jun³

Affiliation:

1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China

2. Library of Kunming Medical University, Kunming 650031, China

3. Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi 214122, China

Funder

National Natural Science Foundation of China

Yunnan Foundation Research Projects

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01305

Reference49 articles.

1. Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq

2. Zhang, S.; Li, X.; Lin, Q.; Wong, K.C. Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization. 2020, arXiv preprint arXiv:2001.01006 https://arxiv.org/abs/2001.01006.

3. Principal component analysis based methods in bioinformatics studies

4. Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors

5. Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning

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