Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

The dataset used for single-cell RNA sequencing data where cells are modeled as signals on gene interaction graphs or genes are modeled as signals on cell-similarity graphs.

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Cite this as

Longqi Liu, Chuanyu Liu, Andrés Quintero, Liang Wu, Yue Yuan, Mingyue Wang, Mengnan Cheng, Lizhi Leng, Liqin Xu, Guoyi Dong, Rui Li, Yang Liu, Xiaoyu Wei, Jiangshan Xu, Xiaowei Chen, Haorong Lu, Dongsheng Chen, Quanlei Wang, Qing Zhou, Xinxin Lin, Gibo Li, Shiping Liu, Qi Wang, Hongru Wang, J. Lynn Fink, Zhengliang Gao, Xin Liu, Yong Hou, Shida Zhu, Huanming Yang, Yunming Ye, Ge Lin, Fang Chen, Carl Herrmann, Roland Eils, Zhouchun Shang, Xun Xu (2024). Dataset: Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity. https://doi.org/10.57702/nysd0klq

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2107.12334
Author Longqi Liu
More Authors
Chuanyu Liu
Andrés Quintero
Liang Wu
Yue Yuan
Mingyue Wang
Mengnan Cheng
Lizhi Leng
Liqin Xu
Guoyi Dong
Rui Li
Yang Liu
Xiaoyu Wei
Jiangshan Xu
Xiaowei Chen
Haorong Lu
Dongsheng Chen
Quanlei Wang
Qing Zhou
Xinxin Lin
Gibo Li
Shiping Liu
Qi Wang
Hongru Wang
J. Lynn Fink
Zhengliang Gao
Xin Liu
Yong Hou
Shida Zhu
Huanming Yang
Yunming Ye
Ge Lin
Fang Chen
Carl Herrmann
Roland Eils
Zhouchun Shang
Xun Xu