An Introduction to Systems Biology

By Uri Alon. 2006

721 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Network Properties Revealed through Matrix Functions (2010, background): “Large networks arise, for example, • in the cell, connecting genes [59], proteins [25, 60], or other genomic quantities [2, 37], • in the brain, connecting neurological regions [16, 47, 65], • in epidemiology, connecting individuals who come into contact [14], • in zoology, connecting animals that i”
Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics (2016, background): “sing the tools of genetic engineering and pharmacology. The network dynamics in these systems can often be modeled using mass-action kinetics, producing a relatively constrained set of network motifs [12], [13]. Generally, biological regulatory and metabolic networks are considered sparse and sparsi”
A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches. (2009, positive): “Mathematical Model of the Network The most common strategy for modeling gene networks is the one based on nonlinear differential equations (DEs) obtained from standard mass-balance kinetic laws (Alon, 2006; Szallasi et al., 2006).”