scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis

Zehao Xiong, Xiangtao Chen, Jiawei Luo 0001, Cong Shen 0002, Zhongyuan Xu. scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis. In Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022. pages 178-181, IEEE, 2022. [doi]

@inproceedings{XiongCLSX22,
  title = {scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis},
  author = {Zehao Xiong and Xiangtao Chen and Jiawei Luo 0001 and Cong Shen 0002 and Zhongyuan Xu},
  year = {2022},
  doi = {10.1109/BIBM55620.2022.9995463},
  url = {https://doi.org/10.1109/BIBM55620.2022.9995463},
  researchr = {https://researchr.org/publication/XiongCLSX22},
  cites = {0},
  citedby = {0},
  pages = {178-181},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022},
  editor = {Donald A. Adjeroh and Qi Long and Xinghua Mindy Shi and Fei Guo and Xiaohua Hu and Srinivas Aluru and Giri Narasimhan and Jianxin Wang and Mingon Kang and Ananda Mondal and Jin Liu},
  publisher = {IEEE},
  isbn = {978-1-6654-6819-0},
}