Cell Decoder: decoding cell identity with multi-scale explainable deep learning
Description
This article "Cell Decoder: decoding cell identity with multi-scale explainable deep learning" is published in Genome Biology.
Author: Jun Zhu
Journal: Genome Biology
Year: 2025
Podcast type: Methodology
The authors are:
- Jun Zhu
- Zeyang Zhang
- Yujia Xiang
- Beini Xie
- Xinwen Dong
- Linhai Xie
- Peijie Zhou
- Rongyan Yao
- Xiaowen Wang
- Yang Li
- Fuchu He
- Wenwu Zhu
- Ziwei Zhang
- Cheng Chang
Affiliations:
Jun Zhu, Yujia Xiang, State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics-driven Cancer Precision Medicine (Chinese Academy of Medical Sciences), Beijing, China
Jun Zhu, Yujia Xiang, School of Life Sciences, Tsinghua University, Beijing, China
Zeyang Zhang, Wenwu Zhu, Ziwei Zhang, Department of Computer Science and Technology, Tsinghua University, Beijing, China
Beini Xie, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China
Xinwen Dong, Rongyan Yao, Xiaowen Wang, Yang Li, Fuchu He, Cheng Chang, State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Research Unit of Proteomics-driven Cancer Precision Medicine (Chinese Academy of Medical Sciences), Beijing, China
Linhai Xie, Fuchu He, International Academy of Phronesis Medicine (Guang Dong), Guangzhou International Bio Island, Guangzhou, China
Peijie Zhou, Center for Machine Learning Research, Peking University, Beijing, China
Peijie Zhou, AI for Science Institute, Beijing, China
United States
