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Petri net models and non linear genetic diseases | IEEE Conference Publication | IEEE Xplore

Petri net models and non linear genetic diseases


Abstract:

Understanding how an individual genetic make-up influences their risk of diseases, is a problem of paramount importance. Although machine-learning techniques are unable t...Show More

Abstract:

Understanding how an individual genetic make-up influences their risk of diseases, is a problem of paramount importance. Although machine-learning techniques are unable to uncover the relationships between genotype and disease, we can still build the best biochemical model automatically with the help of methods that identify the DNA sequence variations in human populations that cause genetic diseases. In this paper, we study Petri net model that is bio chemically plausible to a certain degree, that it may reveal characteristics of the actual biochemical pathways in humans that can aid understanding of the disease.
Date of Conference: 23-26 September 2010
Date Added to IEEE Xplore: 29 November 2010
ISBN Information:
Conference Location: Changsha, China

References

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