Boolean network identification from perturbation time series data combining dynamics abstraction and logic programming
نویسندگان
چکیده
منابع مشابه
Boolean network identification from perturbation time series data combining dynamics abstraction and logic programming
Boolean networks (and more general logic models) are useful frameworks to study signal transduction across multiple pathways. Logic models can be learned from a prior knowledge network structure and multiplex phosphoproteomics data. However, most efficient and scalable training methods focus on the comparison of two time-points and assume that the system has reached an early steady state. In th...
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ژورنال
عنوان ژورنال: Biosystems
سال: 2016
ISSN: 0303-2647
DOI: 10.1016/j.biosystems.2016.07.009