title: Synthetic Gene Circuits Learn to Classify.
abstract: An efficient computational algorithm is developed to design microRNA-based synthetic cell classifiers and to optimize their performance.
authors.affiliation: BioCircuits Institute, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; San Diego Center for Systems Biology, 9500 Gilman Dr., La Jolla, CA 92093, USA.
authors.forename: Andriy
authors.initials: A
authors.lastname: Didovyk
authors.affiliation: BioCircuits Institute, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; San Diego Center for Systems Biology, 9500 Gilman Dr., La Jolla, CA 92093, USA. Electronic address: ltsimring@ucsd.edu.
authors.forename: Lev S
authors.initials: LS
authors.lastname: Tsimring
mesh_terms: D000465:Algorithms; D058045:Artificial Cells; D053263:Gene Regulatory Networks; D005813:Genes, Synthetic; D007858:Learning