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Jiayuan Zhong

Showing results (1-10 of 37) with videos related to

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Journal of Molecular Cell Biology|September 7, 2022
The single-sample network module biomarkers (sNMB) method reveals the pre-deterioration stage of disease progressionJiayuan Zhong, Huisheng Liu, Pei Chen
BMC Genomics|January 30, 2020
Identifying critical state of complex diseases by single-sample Kullback-Leibler divergenceJiayuan Zhong, Rui Liu, Pei Chen
Briefings in Bioinformatics|May 22, 2022
Identifying the critical states of complex diseases by the dynamic change of multivariate distributionHao Peng, Jiayuan Zhong, Pei Chen, et al.
Briefings in Bioinformatics|October 14, 2023
SGAE: single-cell gene association entropy for revealing critical states of cell transitions during embryonic developmentJiayuan Zhong, Chongyin Han, Pei Chen, et al.
Bulletin of Mathematical Biology|June 8, 2026
MNRS: Multi-Factor Network-Based Ranking Score for Detecting Critical Transitions of Complex Diseases Using Gut Microbial DataQiao Wei, Dandan Ding, Jiayuan Zhong, et al.
Journal of Translational Medicine|June 6, 2022
Identifying the critical states and dynamic network biomarkers of cancers based on network entropyJuntan Liu, Dandan Ding, Jiayuan Zhong, et al.
Briefings in Bioinformatics|January 27, 2023
SPNE: sample-perturbed network entropy for revealing critical states of complex biological systemsJiayuan Zhong, Dandan Ding, Juntan Liu, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|June 18, 2026
sMIE: revealing critical transitions in complex biological systems using single-sample mutual information entropyYuan Tao, Ruoqi Lan, Yunshan Lai, et al.
Bioinformatics (Oxford, England)|October 25, 2022
Identifying the critical state of complex biological systems by the directed-network rank score methodJiayuan Zhong, Chongyin Han, Yangkai Wang, et al.
Innovation (Cambridge (Mass.))|November 21, 2025
FatePredictor: Cell fate decision-making prediction with an ensemble deep learning modelJiantao Shen, Nan Chen, Bowen Niu, et al.
Pageof 4

Showing results (1-10 of 37) with videos related to

Sort By:
Pageof 4
Journal of Molecular Cell Biology|September 7, 2022
The single-sample network module biomarkers (sNMB) method reveals the pre-deterioration stage of disease progressionJiayuan Zhong, Huisheng Liu, Pei Chen
BMC Genomics|January 30, 2020
Identifying critical state of complex diseases by single-sample Kullback-Leibler divergenceJiayuan Zhong, Rui Liu, Pei Chen
Briefings in Bioinformatics|May 22, 2022
Identifying the critical states of complex diseases by the dynamic change of multivariate distributionHao Peng, Jiayuan Zhong, Pei Chen, et al.
Briefings in Bioinformatics|October 14, 2023
SGAE: single-cell gene association entropy for revealing critical states of cell transitions during embryonic developmentJiayuan Zhong, Chongyin Han, Pei Chen, et al.
Bulletin of Mathematical Biology|June 8, 2026
MNRS: Multi-Factor Network-Based Ranking Score for Detecting Critical Transitions of Complex Diseases Using Gut Microbial DataQiao Wei, Dandan Ding, Jiayuan Zhong, et al.
Journal of Translational Medicine|June 6, 2022
Identifying the critical states and dynamic network biomarkers of cancers based on network entropyJuntan Liu, Dandan Ding, Jiayuan Zhong, et al.
Briefings in Bioinformatics|January 27, 2023
SPNE: sample-perturbed network entropy for revealing critical states of complex biological systemsJiayuan Zhong, Dandan Ding, Juntan Liu, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|June 18, 2026
sMIE: revealing critical transitions in complex biological systems using single-sample mutual information entropyYuan Tao, Ruoqi Lan, Yunshan Lai, et al.
Bioinformatics (Oxford, England)|October 25, 2022
Identifying the critical state of complex biological systems by the directed-network rank score methodJiayuan Zhong, Chongyin Han, Yangkai Wang, et al.
Innovation (Cambridge (Mass.))|November 21, 2025
FatePredictor: Cell fate decision-making prediction with an ensemble deep learning modelJiantao Shen, Nan Chen, Bowen Niu, et al.
Pageof 4