| Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers L Chen, R Liu, ZP Liu, M Li, K Aihara Scientific reports 2 (1), 342, 2012 | 539 | 2012 |
| Early diagnosis of complex diseases by molecular biomarkers, network biomarkers, and dynamical network biomarkers R Liu, X Wang, K Aihara, L Chen Medicinal research reviews 34 (3), 455-478, 2014 | 259 | 2014 |
| Identifying critical transitions and their leading biomolecular networks in complex diseases R Liu, M Li, ZP Liu, J Wu, L Chen, K Aihara Scientific reports 2 (1), 813, 2012 | 172 | 2012 |
| Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis M Li, T Zeng, R Liu, L Chen Briefings in bioinformatics 15 (2), 229-243, 2014 | 122 | 2014 |
| Identifying critical transitions of complex diseases based on a single sample R Liu, X Yu, X Liu, D Xu, K Aihara, L Chen Bioinformatics 30 (11), 1579-1586, 2014 | 94 | 2014 |
| Quantifying critical states of complex diseases using single-sample dynamic network biomarkers X Liu, X Chang, R Liu, X Yu, L Chen, K Aihara PLoS computational biology 13 (7), e1005633, 2017 | 93 | 2017 |
| Identifying early-warning signals of critical transitions with strong noise by dynamical network markers R Liu, P Chen, K Aihara, L Chen Scientific reports 5 (1), 17501, 2015 | 84 | 2015 |
| Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation P Chen, R Liu, K Aihara, L Chen Nature communications 11 (1), 4568, 2020 | 72 | 2020 |
| Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers X Liu, R Liu, XM Zhao, L Chen BMC medical genomics 6 (2), 1-10, 2013 | 72 | 2013 |
| Dynamical network biomarkers for identifying critical transitions and their driving networks of biologic processes R Liu, K Aihara, L Chen Quantitative Biology 1 (2), 105-114, 2013 | 59 | 2013 |
| Detecting critical state before phase transition of complex biological systems by hidden Markov model P Chen, R Liu, Y Li, L Chen Bioinformatics 32 (14), 2143-2150, 2016 | 56 | 2016 |
| Hunt for the tipping point during endocrine resistance process in breast cancer by dynamic network biomarkers R Liu, J Wang, M Ukai, K Sewon, P Chen, Y Suzuki, H Wang, K Aihara, ... Journal of molecular cell biology 11 (8), 649-664, 2019 | 53 | 2019 |
| NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records Y Wang, J Luo, S Hao, H Xu, AY Shin, B Jin, R Liu, X Deng, L Wang, ... International journal of medical informatics 84 (12), 1039-1047, 2015 | 46 | 2015 |
| Deciphering early development of complex diseases by progressive module network T Zeng, C Zhang, W Zhang, R Liu, J Liu, L Chen Methods 67 (3), 334-343, 2014 | 46 | 2014 |
| Single-sample landscape entropy reveals the imminent phase transition during disease progression R Liu, P Chen, L Chen Bioinformatics 36 (5), 1522-1532, 2020 | 43 | 2020 |
| Detecting early‐warning signals of influenza outbreak based on dynamic network marker P Chen, E Chen, L Chen, XJ Zhou, R Liu Journal of cellular and molecular medicine 23 (1), 395-404, 2019 | 41 | 2019 |
| Assessing characteristics of RNA amplification methods for single cell RNA sequencing HR Dueck, R Ai, A Camarena, B Ding, R Dominguez, OV Evgrafov, ... BMC genomics 17, 1-22, 2016 | 37 | 2016 |
| Identifying critical differentiation state of MCF-7 cells for breast cancer by dynamical network biomarkers P Chen, R Liu, L Chen, K Aihara Frontiers in Genetics 6, 252, 2015 | 36 | 2015 |
| Detecting the tipping points in a three-state model of complex diseases by temporal differential networks P Chen, Y Li, X Liu, R Liu, L Chen Journal of translational medicine 15 (1), 1-15, 2017 | 35 | 2017 |
| Edge biomarkers for classification and prediction of phenotypes T Zeng, WW Zhang, XT Yu, XP Liu, MY Li, R Liu, LN Chen Science China Life Sciences 57, 1103-1114, 2014 | 32 | 2014 |
Luonan ChenProfessor of Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of SciencesBestätigte E-Mail-Adresse bei sibs.ac.cn
