scGCL: an imputation method for scRNA-seq data based on graph contrastive learning.

Bibliographic Details
Title: scGCL: an imputation method for scRNA-seq data based on graph contrastive learning.
Authors: Xiong Z; College of Computer Science and Electronic Engineering, Hunan University, Changsha 410083, China., Luo J; College of Computer Science and Electronic Engineering, Hunan University, Changsha 410083, China., Shi W; College of Computer Science and Electronic Engineering, Hunan University, Changsha 410083, China., Liu Y; College of Computer Science and Electronic Engineering, Hunan University, Changsha 410083, China., Xu Z; College of Computer Science and Electronic Engineering, Hunan University, Changsha 410083, China., Wang B; College of Computer Science and Electronic Engineering, Hunan University, Changsha 410083, China.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2023 Mar 01; Vol. 39 (3).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Complete
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Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btad098