Detecting critical state before phase transition of complex biological systems by hidden Markov model.
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Several Indicators of Critical Transitions for Complex Diseases Based on Stochastic AnalysisIndividual-specific edge-network analysis for disease prediction.Detecting the tipping points in a three-state model of complex diseases by temporal differential networks.Rate of recovery from perturbations as a means to forecast future stability of living systems.Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers.
P2860
Detecting critical state before phase transition of complex biological systems by hidden Markov model.
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2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
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name
Detecting critical state befor ...... ystems by hidden Markov model.
@en
Detecting critical state befor ...... ystems by hidden Markov model.
@nl
type
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Detecting critical state befor ...... ystems by hidden Markov model.
@en
Detecting critical state befor ...... ystems by hidden Markov model.
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Detecting critical state befor ...... ystems by hidden Markov model.
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P2093
P2860
P356
P1433
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Detecting critical state befor ...... systems by hidden Markov model
@en
P2093
P2860
P304
P356
10.1093/BIOINFORMATICS/BTW154
P407
P50
P577
2016-03-19T00:00:00Z