Feature selection using co-occurrence correlation improves cell clustering and embedding in single cell RNAseq data

Evan S. Walsh, H. Troy Ghashghaei, Xinxia Peng. Feature selection using co-occurrence correlation improves cell clustering and embedding in single cell RNAseq 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 751-756, IEEE, 2021. [doi]

@inproceedings{WalshGP21,
  title = {Feature selection using co-occurrence correlation improves cell clustering and embedding in single cell RNAseq data},
  author = {Evan S. Walsh and H. Troy Ghashghaei and Xinxia Peng},
  year = {2021},
  doi = {10.1109/BIBM52615.2021.9669819},
  url = {https://doi.org/10.1109/BIBM52615.2021.9669819},
  researchr = {https://researchr.org/publication/WalshGP21},
  cites = {0},
  citedby = {0},
  pages = {751-756},
  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},
}