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Dan Zhao 0004
Person information
- affiliation: Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China
Other persons with the same name
- Dan Zhao — disambiguation page
- Danella Zhao (aka: Dan Zhao 0001) — Old Dominion University, Department of Computer Science, Norfolk, VA, USA (and 1 more)
- Dan Zhao 0002 — China Aerodynamics Research and Development Center, Computational Aerodynamics Institute, Mianyang, China (and 1 more)
- Dan Zhao 0003
— Peng Cheng Laboratory, Department of Strategic and Advanced Interdisciplinary Research, Shenzhen, China (and 2 more)
- Dan Zhao 0005
- Dan Zhao 0006
- Dan Zhao 0007
- Dan Zhao 0008
- Dan Zhao 0009 — Renmin University of China, School of Information, Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, China
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2020 – today
- 2024
- [j10]Tingzhong Tian
MolSHAP: Interpreting Quantitative Structure-Activity Relationships Using Shapley Values of R-Groups. J. Chem. Inf. Model. 64(7): 2236-2249 (2024) - 2023
- [j9]Han Li
Improving comparative analyses of Hi-C data via contrastive self-supervised learning. Briefings Bioinform. 24(4) (2023) - [j8]Xingang Peng
Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning. Nat. Mac. Intell. 5(4): 395-407 (2023) - [j7]Yuanpeng Xiong, Xuan He, Dan Zhao, Tao Jiang, Jianyang Zeng:
DeepRCI: predicting RNA-chromatin interactions via deep learning with multi-omics data. Quant. Biol. 11(3): 275-286 (2023) - 2022
- [j6]Hantao Shu, Fan Ding, Jingtian Zhou, Yexiang Xue, Dan Zhao, Jianyang Zeng, Jianzhu Ma:
Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data. Briefings Bioinform. 23(5) (2022) - [c2]Han Li
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction. KDD 2022: 857-867 - [i2]Han Li, Dan Zhao, Jianyang Zeng:
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction. CoRR abs/2206.03364 (2022) - [i1]Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng:
Predicting the protein-ligand affinity from molecular dynamics trajectories. CoRR abs/2208.10230 (2022) - 2021
- [j5]Hailin Hu, Xianggen Liu, An Xiao, Yangyang Li, Chengdong Zhang, Tao Jiang
Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. Briefings Bioinform. 22(5) (2021) - [j4]Hantao Shu
Modeling gene regulatory networks using neural network architectures. Nat. Comput. Sci. 1(7): 491-501 (2021) - [j3]Tingzhong Tian
Full-length ribosome density prediction by a multi-input and multi-output model. PLoS Comput. Biol. 17(3) (2021) - 2020
- [j2]Lixiang Hong
A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories. Nat. Mach. Intell. 2(6): 347-355 (2020) - [c1]Shuya Li, Fangping Wan
MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins. RECOMB 2020: 259-260
2010 – 2019
- 2019
- [j1]Yan Hu, Ziqiang Wang
ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks. Bioinform. 35(23): 4946-4954 (2019)
Coauthor Index
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