Professor | Luonan Chen | Asia Growth Partners

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Name	Luonan Chen
Contact Information	lnchen@sibcb.ac.cn
Language ability	Chinese, Japanese, English
Province	Shanghai

Upload Avatar (500 x 500)

Name

Luonan Chen

Contact Information

lnchen@sibcb.ac.cn

Language ability

Chinese, Japanese, English

Province

Shanghai

University/Lab Affiliation and Title	University of Chinese Academy of Sciences
Faculty	Life Sciences
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
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

University/Lab Affiliation and Title

University of Chinese Academy of Sciences

Faculty

Life Sciences

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

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

Areas of Focus	Network Biology and Biological Big Data Bioinformatics Computational Systems Biology Machine Learning and Artificial Intelligence
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

Areas of Focus

Network Biology and Biological Big Data
Bioinformatics
Computational Systems Biology
Machine Learning and Artificial Intelligence

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

Network Biology Biological Big Data Bioinformatics Computational Systems Biology Machine Learning Artificial Intelligence Systems Biology Data Analysis Genomics Proteomics

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