- author = "Pawel Widera and Jaume Bacardit and Natalio Krasnogor and Carlos Garcia-Martinez and Manuel Lozano",
- title = "Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology",
- booktitle = "GECCO 2010 Symbolic regression workshop",
- year = "2010",
- editor = "Steven Gustafson and Mark Kotanchek",
- isbn13 = "978-1-4503-0073-5",
- keywords = "genetic algorithms, genetic programming",
- pages = "1991--1998",
- month = "7-11 " # jul,
- organisation = "SIGEVO",
- address = "Portland, Oregon, USA",
-
DOI = "
doi:10.1145/1830761.1830842",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "Symbolic regression and modelling are tightly linked in many Bioinformatics, Systems and Synthetic Biology problems. In this paper we briefly overview two problems, and the approaches we have use to tackle them, that can be deemed to represent this entwining of regression and modeling, namely, the evolutionary discovery of (1) effective energy functions for protein structure prediction and (2) models that capture biological behaviour at the gene, signalling and metabolic networks level. These problems are not, strictly speaking, {"}regression problems{"} but they do share several characteristics with the latter, namely, a symbolic representation of a solution is sought, this symbolic representation must be human understandable and the results obtained by the symbolic and human interpretable solution must fit the available data without over-learning.",
-
notes = "Also known as \cite{1830842} Distributed on CD-ROM at
GECCO-2010.
ACM Order Number 910102.",
