scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network

• Main Authors: Huang, Zimo, Wang, Jun, Lu, Xudong, Mohd. Zain, Azlan, Yu, Guoxian
• Format: Article
• Language: English
• Published: Oxford University Press 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/105572/1/AzlanMohdZain2023_ScgganSingleCellRnaSeqImputation.pdf; http://eprints.utm.my/105572/; http://dx.doi.org/10.1093/bib/bbad040

Single-cell RNA sequencing (scRNA-seq) data are typically with a large number of missing values, which often results in the loss of critical gene signaling information and seriously limit the downstream analysis. Deep learning-based imputation methods often can better handle scRNA-seq data than shal...