eBreCaP: extreme learning‐based model for breast cancer survival prediction.
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- IET Systems Biology (Wiley-Blackwell), 2020, v. 14, n. 3, p. 160, doi. 10.1049/iet-syb.2019.0087
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- Article
Works matching IS 17518849 AND DT 2020 AND VI 14 AND IP 3
Results: 6
1
2
Various skin impedance models based on physiological stratification.
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- IET Systems Biology (Wiley-Blackwell), 2020, v. 14, n. 3, p. 147, doi. 10.1049/iet-syb.2019.0013
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- Publication type:
- Article
3
Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus.
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- IET Systems Biology (Wiley-Blackwell), 2020, v. 14, n. 3, p. 133, doi. 10.1049/iet-syb.2019.0101
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- Publication type:
- Article
4
Robustness of a biomolecular oscillator to pulse perturbations.
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- IET Systems Biology (Wiley-Blackwell), 2020, v. 14, n. 3, p. 127, doi. 10.1049/iet-syb.2019.0029
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- Publication type:
- Article
5
Identification of specific microRNA–messenger RNA regulation pairs in four subtypes of breast cancer.
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- IET Systems Biology (Wiley-Blackwell), 2020, v. 14, n. 3, p. 120, doi. 10.1049/iet-syb.2019.0086
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- Publication type:
- Article
6
Application of conditional robust calibration to ordinary differential equations models in computational systems biology: a comparison of two sampling strategies.
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- IET Systems Biology (Wiley-Blackwell), 2020, v. 14, n. 3, p. 107, doi. 10.1049/iet-syb.2018.5091
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- Publication type:
- Article