title: An application of monotone functions decomposition to the reconstruction of gene regulatory networks.
abstract: We describe the reconstruction of a gene regulatory network involved with the Toll-like Receptor signaling pathways. By applying our recent identification algorithm to a time series gene expression dataset, we identify regulatory interactions between genes and construct discrete-time piece-wise affine regulatory functions. Our validation shows that our model predicts the expression levels of the genes involved in the network with good accuracy.
authors.affiliation: Dept of Mechanical Engineering, Boston University, Boston, MA 02215, USA. rahul.jhu@gmail.com
authors.forename: H
authors.initials: H
authors.lastname: Chang
authors.forename: G
authors.initials: G
authors.lastname: Richard
authors.forename: A A
authors.initials: AA
authors.lastname: Julius
authors.forename: C
authors.initials: C
authors.lastname: Belta
authors.forename: S
authors.initials: S
authors.lastname: Amar
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D005786:Gene Expression Regulation / Q000502:physiology*; D051379:Mice; D008954:Models, Biological; D015398:Signal Transduction / Q000502:physiology*; D051193:Toll-Like Receptors / Q000378:metabolism*
chemical_list: D051193:Toll-Like Receptors