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2020 – today
- 2025
[i2]Tianyu Liu, Simeng Han, Xiao Luo, Hanchen Wang, Pan Lu, Biqing Zhu, Yuge Wang, Keyi Li, Jiapeng Chen, Rihao Qu, Yufeng Liu, Xinyue Cui, Aviv Yaish
, Yuhang Chen, Minsheng Hao, Chuhan Li, Kexing Li, Arman Cohan, Hua Xu, Mark Gerstein, James Zou, Hongyu Zhao:
Towards Artificial Intelligence Research Assistant for Expert-Involved Learning. CoRR abs/2505.04638 (2025)- 2023
- [d2]Le Zhang, Sreeganga S. Chandra, Biqing Zhu, Min Jae Park, Russo Anthony, Haowei Wang:
Single-cell transcriptomic and proteomic analysis of Parkinson's disease brains. Version 0.1. Zenodo, 2023 [all versions]
- [d1]Le Zhang, Sreeganga S. Chandra, Biqing Zhu, Min Jae Park, Russo Anthony, Haowei Wang:
Single-cell transcriptomic and proteomic analysis of Parkinson's disease brains. Version 1.0. Zenodo, 2023 [all versions] - 2022
- [j2]Biqing Zhu, Hongyu Li, Le Zhang, Sreeganga S. Chandra, Hongyu Zhao:
A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data. Briefings Bioinform. 23(5) (2022) - 2021
- [j1]Hongyu Li, Biqing Zhu, Zhichao Xu, Taylor Adams, Naftali Kaminski, Hongyu Zhao:
A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data. BMC Bioinform. 22(3): 524 (2021) - 2020
- [i1]Xinyu Dou, Cuijuan Liao, Hengqi Wang, Ying Huang, Ying Tu, Xiaomeng Huang, Yiran Peng, Biqing Zhu, Jianguang Tan, Zhu Deng, Nana Wu, Taochun Sun, Piyu Ke, Zhu Liu:
Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches. CoRR abs/2011.09013 (2020)
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