Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations

@inproceedings{Duren2018IntegrativeAO,
  title={Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations},
  author={Zhana Duren and Xi Chen and Mahdi Zamanighomi and Wanwen Zeng and Ansuman T Satpathy and Howard Y Chang and Yong Wang and Wing Hung Wong},
  booktitle={Proceedings of the National Academy of Sciences of the United States of America},
  year={2018}
}
When different types of functional genomics data are generated on single cells from different samples of cells from the same heterogeneous population, the clustering of cells in the different samples should be coupled. We formulate this "coupled clustering" problem as an optimization problem and propose the method of coupled nonnegative matrix… CONTINUE READING