Introduces strong regulation in logical networks where vertices update only if all predecessors agree, and discusses phenotype attractors with some variables fixed and others arbitrary including ambiguous.
Discrete dynamic network modeling of oncogenic signal- ing: Mechanistic insights for personalized treatment of cancer
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Strong regulatory graphs
Introduces strong regulation in logical networks where vertices update only if all predecessors agree, and discusses phenotype attractors with some variables fixed and others arbitrary including ambiguous.