Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data

Hang-Jin Yang, Yuxia Lei, Juan Wang 0003, Xiang-Zhen Kong, Jin-Xing Liu, Ying-Lian Gao. Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data. J. Bioinformatics and Computational Biology, 20(2), 2022. [doi]

@article{YangL0KLG22,
  title = {Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data},
  author = {Hang-Jin Yang and Yuxia Lei and Juan Wang 0003 and Xiang-Zhen Kong and Jin-Xing Liu and Ying-Lian Gao},
  year = {2022},
  doi = {10.1142/S0219720022500020},
  url = {https://doi.org/10.1142/S0219720022500020},
  researchr = {https://researchr.org/publication/YangL0KLG22},
  cites = {0},
  citedby = {0},
  journal = {J. Bioinformatics and Computational Biology},
  volume = {20},
  number = {2},
}