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Challenges and opportunities for digital twins in precision medicine from a complex systems perspective
Digital twins (DTs) in precision medicine are increasingly viable, propelled by extensive data
collection and advancements in artificial intelligence (AI), alongside traditional biomedical …
collection and advancements in artificial intelligence (AI), alongside traditional biomedical …
Pillars of biology: Boolean modeling of gene-regulatory networks
J Thakar - Journal of Theoretical Biology, 2024 - Elsevier
Boolean modeling is a mathematical modeling framework used for defining and studying
gene-regulatory networks (GRNs). It serves as a means to develop mechanistic models …
gene-regulatory networks (GRNs). It serves as a means to develop mechanistic models …
[KIRJA][B] Boolean Networks as Predictive Models of Emergent Biological Behaviors
Interacting biological systems at all organizational levels display emergent behavior.
Modeling these systems is made challenging by the number and variety of biological …
Modeling these systems is made challenging by the number and variety of biological …
Boolean networks as predictive models of emergent biological behaviors
JC Rozum, C Campbell, E Newby… - ar** the attractor landscape of Boolean networks
Boolean networks are popular dynamical models of cellular processes in systems biology.
Their attractors model phenotypes that arise from the interplay of key regulatory subcircuits …
Their attractors model phenotypes that arise from the interplay of key regulatory subcircuits …
Phenotype control of partially specified boolean networks
Abstract Partially specified Boolean networks (PSBNs) represent a promising framework for
the qualitative modelling of biological systems in which the logic of interactions is not …
the qualitative modelling of biological systems in which the logic of interactions is not …