Validation of a morphogenesis Model of Drosophila Early Development by a Multi-objective evolutionary Optimization Algorithm
|Title:||Validation of a morphogenesis Model of Drosophila Early Development by a Multi-objective evolutionary Optimization Algorithm||Authors:||Dilão, Rui; Muraro, Daniele; Nicolau, Miguel; Schoenauer, Marc||Permanent link:||http://hdl.handle.net/10197/8294||Date:||17-Apr-2009||Online since:||2017-01-20T15:20:03Z||Abstract:||We apply evolutionary computation to calibrate the parameters of a morphogenesis model of Drosophila early development. The model aims to describe the establishment of the steady gradients of Bicoid and Caudal proteins along the antero-posterior axis of the embryo of Drosophila. The model equations consist of a system of non-linear parabolic partial differential equations with initial and zero flux boundary conditions. We compare the results of single- and multi-objective variants of the CMA-ES algorithm for the model the calibration with the experimental data. Whereas the multiobjective algorithm computes a full approximation of the Pareto front, repeated runs of the single-objective algorithm give solutions that dominate (in the Pareto sense) the results of the multi-objective approach. We retain as best solutions those found by the latter technique. From the biological point of view, all such solutions are all equally acceptable, and for our test cases, the relative error between the experimental data and validated model solutions on the Pareto front are in the range 3% − 6%. This technique is general and can be used as a generic tool for parameter calibration problems.||Funding Details:||GENNETEC||Type of material:||Conference Publication||Publisher:||Springer||Start page:||176||End page:||190||Series/Report no.:||Lecture Notes in Computer Science||Copyright (published version):||2009 Springer||Keywords:||Evolutionary algorithms; Model calibration||DOI:||10.1007/978-3-642-01184-9_16||Language:||en||Status of Item:||Peer reviewed||Is part of:||Pizzuti, C., Ritchie, M.D. and Giacobini, M. (eds.). Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (Lectures Notes in Computer Science Volume 5843)||Conference Details:||7th European Conference: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, Tubingen, Germany, 15-17 April 2009||ISBN:||9783642011832||This item is made available under a Creative Commons License:||https://creativecommons.org/licenses/by-nc-nd/3.0/ie/|
|Appears in Collections:||Business Research Collection|
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