Pei Chen
Pei Chen
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Zitiert von
Zitiert von
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, 2015
Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation
Pei Chen, Rui Liu, Kazuyuki Aihara, and Luonan Chen
Nature Communications, 2020
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
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, 2018
Single-sample landscape entropy reveals the imminent phase transition during disease progression
R Liu, P Chen, L Chen
Bioinformatics, 2019
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
Identifying critical differentiation state of MCF-7 cells for breast cancer by dynamical network biomarkers
P Chen, R Liu, K Aihara, L Chen
Frontiers in genetics 6, 252, 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), 217, 2017
Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy
R Liu, J Zhong, R Hong, E Chen, K Aihara, P Chen, L Chen
Science Bulletin, 2021
Identifying critical state of complex diseases by single-sample Kullback–Leibler divergence
Jiayuan Zhong, Rui Liu, Pei Chen
BMC Genomics, 2020
Defining and characterizing the critical transition state prior to the type 2 diabetes disease
B Jin, R Liu, S Hao, Z Li, C Zhu, X Zhou, P Chen, T Fu, Z Hu, Q Wu, W Liu, ...
PloS one 12 (7), e0180937, 2017
Dynamic Network Biomarker of Pre-Exhausted CD8+ T Cells Contributed to T Cell Exhaustion in Colorectal Cancer
J Hu, C Han, J Zhong, H Liu, R Liu, W Luo, P Chen, F Ling
Frontiers in immunology, 3057, 2021
scGET: Predicting Cell Fate Transition During Early Embryonic Development by Single-cell Graph Entropy
Jiayuan Zhong, Chongyin Han, Xuhang Zhang, Pei Chen, Rui Liu
Genomics, Proteomics & Bioinformatics, 2021
Identifying critical state of complex diseases by single-sample-based hidden Markov model
R Liu, J Zhong, X Yu, Y Li, P Chen
Frontiers in genetics 10, 285, 2019
Rapid diagnosis and comprehensive bacteria profiling of sepsis based on cell-free DNA
Pei Chen, Shuo Li, Wenyuan Li, Jie Ren, Fengzhu Sun, Rui Liu, Xianghong ...
Journal of Translational Medicine 18 (5), 2020
Identifying pre-outbreak signals of hand, foot and mouth disease based on landscape dynamic network marker
Xuhang Zhang Rong Xie, Zhengrong Liu, Yucong Pan, Rui Liu, Pei Chen
BMC Infectious Diseases, 2021
Forecasting the COVID-19 transmission in Italy based on the minimum spanning tree of dynamic region network
M Dong, X Zhang, K Yang, R Liu, P Chen
PeerJ 9, e11603, 2021
Real-Time Forecast of Influenza Outbreak Using Dynamic Network Marker Based on Minimum Spanning Tree
Kun Yang, Jialiu Xie, Rong Xie, Yucong Pan, Rui Liu, Pei Chen
BioMed Research International 2020 (11), 2020
Identifying the critical states of complex diseases by the dynamic change of multivariate distribution
Hao Peng, Jiayuan Zhong, Pei Chen, Rui Liu
Briefings in Bioinformatics, 2022
Detecting the outbreak of influenza based on the shortest path of dynamic city network
Y Chen, K Yang, J Xie, R Xie, Z Liu, R Liu, P Chen
PeerJ 8, e9432, 2020
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