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.
Dynamical behaviour of biological regulatory networks—I
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DM 1years
2023 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.