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Artificial intelligence for modeling uveal melanoma
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作者 Beatriz Santos-Buitrago Gustavo Santos-García Emiliano Hernández-Galilea 《Artificial Intelligence in Cancer》 2020年第4期51-65,共15页
Understanding of the cellular signaling pathways involved in cancer disease is of great importance.These complex biological mechanisms can be thoroughly revealed by their structure,dynamics,and control methods.Artific... Understanding of the cellular signaling pathways involved in cancer disease is of great importance.These complex biological mechanisms can be thoroughly revealed by their structure,dynamics,and control methods.Artificial intelligence offers rule-based models that favor the research of human signaling processes.In this paper,we give an overview of the advantages of the formalism of symbolic models in medical biology and cell biology of the uveal melanoma.A language is described that allows us:(1)To define the system states and elements with their alterations;(2)To model the dynamics of the cellular system;and(3)To perform inference-based analysis with the logical tools of the language. 展开更多
关键词 Uveal melanoma Signal transduction Pathway Logic Symbolic systems biology Artificial intelligence
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