title: Models, measurement and inference in epithelial tissue dynamics.
abstract: The majority of solid tumours arise in epithelia and therefore much research effort has gone into investigating the growth, renewal and regulation of these tissues. Here we review different mathematical and computational approaches that have been used to model epithelia. We compare different models and describe future challenges that need to be overcome in order to fully exploit new data which present, for the first time, the real possibility for detailed model validation and comparison.
authors.affiliation: Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radclie Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, United Kingdom email:maclaren@maths.ox.ac.uk.
authors.forename: Oliver J
authors.initials: OJ
authors.lastname: Maclaren
authors.forename: Helen M
authors.initials: HM
authors.lastname: Byrne
authors.forename: Alexander G
authors.initials: AG
authors.lastname: Fletcher
authors.forename: Philip K
authors.initials: PK
authors.lastname: Maini
mesh_terms: D000818:Animals; D063646:Carcinogenesis; D004848:Epithelium / Q000033:anatomy & histology / Q000502:physiology*; D006706:Homeostasis; D006801:Humans; D055641:Mathematical Concepts; D008954:Models, Biological; D009375:Neoplasms, Glandular and Epithelial / Q000209:etiology