… of logic modeling of signaling networks. These models have been applied recently to analyze
signal … In particular, given a network encoding our knowledge of signal transduction and a …

… Given that primary HCC cells from a patient can be harvested and expanded in culture,42
our approach is feasible for generating signaling network models in individual patients, which …

… all possible conjunctions having such evidence by computing for each v ∈ V all possible …
/ 3 , all possible logical formulas in disjunctive normal form. That is, we represent a Boolean …

… Next we created a superstructure of Boolean models having all possible logic gates compatible
with the compressed graph. The superstructure was represented as a hypergraph using …

… The arising logic statements and integer … logic models reduce to a polynomial-time solvable
satisfiability algorithm. Additionally, a more dynamic model enables enumeration of possible …

… To illustrate the variety of logic modeling approaches, we will … network includes a subset of
intracellular signaling networks … to integrate as many network resources as possible. These …

… logic models of signaling networks by training networks derived from prior knowledge to
signaling … of nodes states, which is possible using fuzzy logic models as introduced in[35] and …

… Logic models of signaling pathways are a promising way of … functional models of a cell, in
particular of signaling pathways. … the 1630 possible) to identify a family of logic models with a …

… A Boolean or logic model characterizes each biomolecule by … models of signaling networks
with sustained input signals by … motifs and network simplification leads to one of two possible …

… , and it is possible to make explicit the general rules used to interpret results obtained from
various types of experiments in order to automate the construction of signaling networks. …