2021 | OriginalPaper | Buchkapitel
Automatic Synthesis of Boolean Networks from Biological Knowledge and Data
verfasst von : Athénaïs Vaginay, Taha Boukhobza, Malika Smaïl-Tabbone
Erschienen in: Optimization and Learning
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Abstract
ASKeD-BN
, a new approach based on Answer-Set Programming to synthesise BNs constrained in their structure and dynamics. By applying our method on several well-known biological systems, we provide empirical evidence that our approach can construct BNs in line with the provided constraints. We compare our approach with three existing methods (REVEAL
, Best-Fit
and caspo-TS
) and show that our approach synthesises a small number of BNs which are covering a good proportion of the dynamical constraints, and that the variance of this coverage is low.