ml4bio/CLEAR: CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
Type
SoftwareAuthors
Han, Wenkai
Cheng, Yuqi
Chen, Jiayang
Zhong, Huawen
Hu, Zhihang
Chen, Siyuan
Zong, Licheng
Hong, Liang
Chan, Ting-Fung
King, Irwin
Gao, Xin
Li, Yu
KAUST Department
Biological and Environmental Science and Engineering (BESE) DivisionComputational Bioscience Research Center (CBRC)
Computer Science
Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST) , Thuwal, 23955, Saudi Arabia
Red Sea Research Center (RSRC)
Structural and Functional Bioinformatics Group
Date
2021-06-27Permanent link to this record
http://hdl.handle.net/10754/681612Metadata
Show full item recordAbstract
CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysisPublisher
GithubAdditional Links
https://github.com/ml4bio/CLEARRelations
Is Supplement To:- [Article]
Han, W., Cheng, Y., Chen, J., Zhong, H., Hu, Z., Chen, S., Zong, L., Hong, L., Chan, T.-F., King, I., Gao, X., & Li, Y. (2022). Self-supervised contrastive learning for integrative single cell RNA-seq data analysis. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbac377. DOI: 10.1093/bib/bbac377 Handle: 10754/681239