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Luonan Chen
Life Science
University of Chinese Academy of Sciences
Shanghai
Language: Chinese, Japanese, English
Network Biology
Biological Big Data
Bioinformatics
Computational Systems Biology
Machine Learning
Artificial Intelligence
Systems Biology
Data Analysis
Genomics
Proteomics
Areas of Focus
- Network Biology and Biological Big Data
- Bioinformatics
- Computational Systems Biology
- Machine Learning and Artificial Intelligence
Work Experience
- 2009-10 - Present - Executive Director, Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences
- 2009-04 - Present - Professor, Institute of Industrial Science, University of Tokyo
- 2007-01 - Present - Director, Institute of Systems Biotechnologies, Shanghai University
- 2006-04 - Present - Group Leader, Japan Science and Technology Agency
- 2002-04 - Present - Professor, Osaka Institute of Technology
- 2000-04 - Present - Visiting Professor, University of California, Los Angeles
- 1997-04 - Present - Associate Professor, Osaka Institute of Technology
- 1991-04 - 1997-03 - Senior Researcher, Japan Development Computing Center
Academic Background & Achievements
- 1988-04 - Ph.D.: Tohoku University, Japan
- 1986-04 - Master's: Tohoku University, Japan
- 1980-09 - Bachelor's: Huazhong University of Science and Technology, China
Publications
- Counteracting lineage-specific transcription factor network finely tunes lung adeno-to-squamous transdifferentiation through remodeling tumor immune microenvironment., Shijie Tang, Yun Xue, Zhen Qin, Zhaoyuan Fang, Yihua Sun, Chongzhe Yuan, Yunjian Pan, Yue Zhao, Xinyuan Tong, Jian Zhang, Hsinyi Huang, Yuting Chen, Liang Hu, Dasong Huang, Ruiqi Wang, Weiguo Zou, Yuan Li, Roman K. Thomas, Andrea Ventura, Kwok-Kin Wong, Haiquan Chen, Luonan Chen, Hongbin Ji., 2023
- Earthquake alerting based on spatial geodetic data by spatiotemporal information transformation learning., Luonan Chen, 2023
- Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation., Lin Li, Yilin Xu, Lili Yan, Xiao Li, Fei Li, Zhuang Liu, Chuanchao Zhang, Yuan Lou, Dong Gao, Xin Cheng, Luonan Chen., 2023
- Predicting time series by data-driven spatiotemporal information transformation., Peng Tao, Xiaohu Hao, Jie Cheng, Luonan Chen., 2023
- Oxidative stress-triggered Wnt signaling perturbation characterizes the tipping point of lung adeno-to-squamous transdifferentiation., Zhaoyuan Fang, Xiangkun Han, Yueqing Chen, Xinyuan Tong, Yun Xue, Shun Yao, Shijie Tang, Yunjian Pan, Yihua Sun, Xue Wang, Yujuan Jin, Haiquan Chen, Liang Hu, Lijian Hui, Lin Li, Luonan Chen, Hongbin Ji., 2023
- A single-cell transcriptional landscape of immune cells shows disease-specific changes of T cell and macrophage populations in human achalasia., Zu-Qiang Liu, Hao Dai, Lu Yao, Wei-Feng Chen, Yun Wang, Li-Yun Ma, Xiao-Qing Li, Sheng-Li Lin, Meng-Jiang He, Ping-Ting Gao, Xin-Yang Liu, Jia-Xin Xu, Xiao-Yue Xu, Ke-Hao Wang, Li Wang, Luonan Chen, Ping-Hong Zhou, Quan-Lin Li., 2023
- A randomized controlled trial for response of microbiome network to exercise and diet intervention in patients with nonalcoholic fatty liver disease., Runtan Cheng, Lu Wang, Shenglong Le, Yifan Yang, Can Zhao, Xiangqi Zhang, Xin Yang, Ting Xu, Leiting Xu, Petri Wiklund, Jun Ge, Dajiang Lu, Chenhong Zhang, Luonan Chen, Sulin Cheng., 2022
- Energy landscape decomposition for cell differentiation with proliferation effect., Jifan Shi, Kazuyuki Aihara, Tiejun Li, Luonan Chen., 2022
- Integrated profiling of human pancreatic cancer organoids reveals chromatin accessibility features associated with drug sensitivity., Xiaohan Shi, Yunguang Li, Qiuyue Yuan, Shijie Tang, Shiwei Guo, Yehan Zhang, Juan He, Xiaoyu Zhang, Ming Han, Zhuang Liu, Yiqin Zhu, Suizhi Gao, Huan Wang, Xiongfei Xu, Kailian Zheng, Wei Jing, Luonan Chen, Yong Wang, Gang Jin, Dong Gao., 2022
- Interpreting Functional Impact of Genetic Variations by Network QTL for Genotype-Phenotype Association Study., Kai Yuan, Tao Zeng, Luonan Chen., 2022
- Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning., Chunman Zuo, Yijian Zhang, Chen Cao, Jinwang Feng, Mingqi Jiao, Luonan Chen., 2022
- Intrinsic entropy model for feature selection of scRNA-seq data., Lin Li, Hui Tang, Rui Xia, Hao Dai, Rui Liu, Luonan Chen., 2022
- Spatiotemporal Transformer Neural Network for Time-Series Forecasting., Yujie You, Le Zhang, Peng Tao, Suran Liu, Luonan Chen., 2022
- Identification of TAZ as the essential molecular switch in orchestrating SCLC phenotypic transition and metastasis., Yujuan Jin, Qiqi Zhao, Weikang Zhu, Yan Feng, Tian Xiao, Peng Zhang, Liyan Jiang, Yingyong Hou, Chenchen Guo, Hsinyi Huang, Yabin Chen, Xinyuan Tong, Jiayu Cao, Fei Li, Xueliang Zhu, Jun Qin, Dong Gao, XinYuan Liu, Hua Zhang, Luonan Chen, Roman KThomas, KwokKin Wong, Lei Zhang, Yong Wang, Liang Hu, Hongbin Ji., 2022
- Coevolutionary insights between promoters and transcription factors in the plant and animal kingdoms., JingSong Zhang, HaiQuan Wang, Jie Xia, Kun Sha, ShuTao He, Hao Dai, XiaoHu Hao, YiWei Zhou, Qiu Wang, KeKe Ding, ZhangLei Ju, Wen Wang, LuoNan Chen., 2022
- Transcriptome analysis method based on differential distribution evaluation., Yiwei Meng, Yanhong Huang, Xiao Chang, Xiaoping Liu, Luonan Chen., 2022
- Brain-inspired chaotic backpropagation for MLP., Peng Tao, Jie Cheng, Luonan Chen., 2022
- Single-cell entropy network detects the activity of immune cells based on ribosomal protein genes., Qiqi Jin, Chunman Zuo, Haoyue Cui, Lin Li, Yiwen Yang, Hao Dai, Luonan Chen., 2022
- Molecular biomarkers, network biomarkers, and dynamic network biomarkers for diagnosis and prediction of rare diseases., Shijie Tang, Kai Yuan, Luonan Chen., 2022
- Detecting the critical states during disease development based on temporal network flow entropy., Rong Gao, Jinling Yan, Peiluan Li, Luonan Chen., 2022
- Detection of Alzheimer’s disease using features of brain region-of-interest-based individual network constructed with the sMRI image., Jinwang Feng, ShaoWu Zhang, Luonan Chen, Chunman Zuo, Alzheimer’s Disease Neuroimaging Initiative., 2022
- Deep cross-omics cycle attention model for joint analysis of single-cell multi-omics data., Chunman Zuo, Hao Dai, Luonan Chen., 2021
- Collective fluctuation implies imminent state transition Comment on 'Dynamic and thermodynamic models of adaptation' by AN Gorban et al., Rui Liu, Kazuyuki Aihara, Luonan Chen., 2021
- Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage., Chengming Zhang, Hong Zhang, Jing Ge, Chenxi Song, Xiaoping Liu, Jingzhou Chen, Kefei Dou, Luonan Chen., 2021
- scDA: Single cell discriminant analysis for single-cell RNA sequencing data., Qianqian Shi, Xinxing Li, Qirui Peng, Chuanchao Zhang, Luonan Chen., 2021
- Identifying Critical States of Complex Diseases by Single-Sample Jensen-Shannon Divergence., Jinling Yan, Peiluan Li, Rong Gao, Ying Li, Luonan Chen., 2021
- Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients., WeiFeng Guo, ShaoWu Zhang, YueHua Feng, Jing Liang, Tao Zeng, Luonan Chen., 2021
- Integrative analysis of multi-omics data reveals the heterogeneity and signatures of immune therapy for small cell lung cancer., Yabin Chen, Zhaoyuan Fang, Ying Tang, Yujuan Jin, Chenchen Guo, Liang Hu, Yang Xu, Xidong Ma, Jie Gao, Mei Xie, Xuelei Zang, Sanhong Liu, Haiquan Chen, Roman K Thomas, Xinying Xue, Hongbin Ji, Luonan Chen., 2021
- Potential transmission chains of variant B.1.1.7 and co-mutations of SARS-CoV-2., Jingsong Zhang, Yang Zhang, JunYan Kang, Shuiye Chen, Yongqun He, Benhao Han, MoFang Liu, Lina Lu, Li Li, Zhigang Yi, Luonan Chen., 2021
- Dynamics-based data science in biology., Jifan Shi, Kazuyuki Aihara, Luonan Chen., 2021
- Tgfb3 and Mmp13 regulated the initiation of liver fibrosis progression as dynamic network biomarkers., Jinsheng Guo, Weixin Liu, Zhiping Zeng, Jie Lin, Xingxin Zhang, Luonan Chen., 2020
- Partial cross mapping eliminates indirect causal influences., Siyang Leng, Huanfei Ma, Jürgen Kurths, YingCheng Lai, Wei Lin, Kazuyuki Aihara, Luonan Chen., 2020
- Personalized Early-Warning Signals during Progression of Human Coronary Atherosclerosis by Landscape Dynamic Network Biomarker., Jing Ge, Chenxi Song, Chengming Zhang, Xiaoping Liu, Jingzhou Chen, Kefei Dou, Luonan Chen., 2020
- Reconstructing gene regulatory networks in single-cell transcriptomic data analysis., Hao Dai, QiQi Jin, Lin Li, LuoNan Chen., 2020
