Ontology for Cellular Senescence Mechanisms
Y. Yamagata, T. Fukuyama, S. Onami, H. Masuya
This paper proposes an ontological model to organize knowledge of cellular senescence mechanisms for computer-readable integration and analysis.
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3 papers
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Y. Yamagata, T. Fukuyama, S. Onami, H. Masuya
This paper proposes an ontological model to organize knowledge of cellular senescence mechanisms for computer-readable integration and analysis.
K. Suzuki, S.-I. S. Matsuzaki, H. Masuya
This paper introduces EcohNet, a machine learning framework for causal inference in complex ecosystems, showing it improves interaction network inference and forecasting of ecosystem components.
K. Suzuki, S. Nakaoka, S. Fukuda, H. Masuya
The paper analyzes ecological community multistability using an energy landscape approach, revealing stable states and transitions in murine gut microbiota across age.