Works matching IS 17518849 AND DT 2018 AND VI 12 AND IP 6
Results: 10
Modelling and simulation of chlorophyll fluorescence from photosystem II as affected by temperature.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 304, doi. 10.1049/iet-syb.2018.5030
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- Article
Study of cohabitation and interconnection effects on normal and leukaemic stem cells dynamics in acute myeloid leukaemia.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 279, doi. 10.1049/iet-syb.2018.5026
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- Article
Identifying cancer-related microRNAs based on subpathways.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 273, doi. 10.1049/iet-syb.2018.5025
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- Article
Identification of essential proteins based on a new combination of topological and biological features in weighted protein-protein interaction networks.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 247, doi. 10.1049/iet-syb.2018.5024
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- Article
Hierarchical parameter estimation of GRN based on topological analysis.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 294, doi. 10.1049/iet-syb.2018.5015
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- Article
Dynamic optimal experimental design yields marginal improvement over steady-state results for computational maximisation of regulatory T-cell induction in ex vivo culture.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 241, doi. 10.1049/iet-syb.2018.5014
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- Article
Biological pest control using a model-based robust feedback.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 233, doi. 10.1049/iet-syb.2018.5010
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- Article
Time-invariant biological networks with feedback loops: structural equation models and structural identifiability.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 264, doi. 10.1049/iet-syb.2018.5004
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- Article
Modelling and simulation of photosystem II chlorophyll fluorescence transition from darkadapted state to light-adapted state.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 289, doi. 10.1049/iet-syb.2018.5003
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- Article
Cancers classification based on deep neural networks and emotional learning approach.
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- IET Systems Biology (Wiley-Blackwell), 2018, v. 12, n. 6, p. 258, doi. 10.1049/iet-syb.2018.5002
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- Article