title: General theory of genotype to phenotype mapping: derivation of epigenetic landscapes from N-node complex gene regulatory networks.
abstract: We propose a systematic methodology to construct a probabilistic epigenetic landscape of cell-fate attainment associated with N-node Boolean genetic regulatory networks. The general derivation proposed here is exemplified with an Arabidopsis thaliana network underlying floral organ determination grounded on qualitative experimental data.
authors.affiliation: Instituto de Física, Universidad Nacional Autónoma de México, D.F. México, Mexico.
authors.forename: Carlos
authors.initials: C
authors.lastname: Villarreal
authors.forename: Pablo
authors.initials: P
authors.lastname: Padilla-Longoria
authors.forename: Elena R
authors.initials: ER
authors.lastname: Alvarez-Buylla
mesh_terms: D017360:Arabidopsis / Q000235:genetics / Q000254:growth & development; D057890:Epigenomics; D035264:Flowers / Q000235:genetics / Q000254:growth & development; D053263:Gene Regulatory Networks; D005838:Genotype; D008957:Models, Genetic; D010641:Phenotype; D013269:Stochastic Processes