Adaptive total-variation joint learning model for analyzing single cell RNA seq data

Dai-Jun Zhang, Jing-Xiu Zhao, Jin-Xing Liu, Ying-Lian Gao. Adaptive total-variation joint learning model for analyzing single cell RNA seq data. In Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. pages 775-778, IEEE, 2021. [doi]

@inproceedings{ZhangZLG21-0,
  title = {Adaptive total-variation joint learning model for analyzing single cell RNA seq data},
  author = {Dai-Jun Zhang and Jing-Xiu Zhao and Jin-Xing Liu and Ying-Lian Gao},
  year = {2021},
  doi = {10.1109/BIBM52615.2021.9669379},
  url = {https://doi.org/10.1109/BIBM52615.2021.9669379},
  researchr = {https://researchr.org/publication/ZhangZLG21-0},
  cites = {0},
  citedby = {0},
  pages = {775-778},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021},
  editor = {Yufei Huang and Lukasz A. Kurgan and Feng Luo and Xiaohua Hu and Yidong Chen and Edward R. Dougherty and Andrzej Kloczkowski and Yaohang Li},
  publisher = {IEEE},
  isbn = {978-1-6654-0126-5},
}