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- W2051259547 abstract "In this study, we use the cross-impact analysis to build a descriptively probabilistic relationship between mutant von Hippel-Lindau protein and its clinical outcome after quantifying mutant von Hippel-Lindau proteins with the amino-acid distribution probability, then we use the Bayes-ian equation to determine the probability that the von Hippel-Lindau disease occurs under a mutation, and finally we attempt to distinguish the classifications of clinical outcomes as well as the endocrine and nonendocrine neoplasia induced by mutations of von Hippel-Lindau protein. The results show that a patient has 9/10 chance of being von Hippel-Lindau disease when a new mutation occurs in von Hippel- Lindau protein, the possible distinguishing of classifications of clinical outcomes using mod-eling, and the explanation of the endocrine and nonendocrine neoplasia in modeling view." @default.
- W2051259547 created "2016-06-24" @default.
- W2051259547 creator A5044041420 @default.
- W2051259547 date "2009-01-01" @default.
- W2051259547 modified "2023-10-12" @default.
- W2051259547 title "Descriptively probabilistic relationship between mutated primary structure of von Hippel-Lindau protein and its clinical outcome" @default.
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- W2051259547 doi "https://doi.org/10.4236/jbise.2009.23032" @default.
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