An open problem in gene expression data analysis is the evaluation of the performance of gene selection methods applied to discover biologically relevant sets of genes. The problem is difficult, as the entire set of genes involved in specific biological processes is usually unknown or only partially known, making unfeasible a correct comparison between different gene selection methods. The natural solution to this problem consists in developing an artificial model to generate gene expression data, in order to know in advance the set of biologically relevant genes. The models proposed in the literature, even if useful for a preliminary evaluation of gene selection methods, did not explicitly consider the biological characteristics of gene expression data. The main aim of this work is to individuate the main biological characteristics that need to be considered to design a model for validating gene selection methods based on the analysis of DNA microarray data.
Biological specifications for a synthetic gene expression data generation model / F. Ruffino, M. Muselli, G. Valentini - In: Fuzzy Logic and Applications : 6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005 : Revised Selected Papers / [a cura di] I. Bloch, A. Petrosino, A. Tettamanzi. - Berlin : Springer, 2006. - ISBN 3540325298. - pp. 277-283 (( Intervento presentato al 6. convegno International Workshop on Fuzzy Logic and Applications - WILF tenutosi a Crema nel 2005.
|Titolo:||Biological specifications for a synthetic gene expression data generation model|
RUFFINO, FRANCESCA (Primo)
VALENTINI, GIORGIO (Ultimo)
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2006|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/11676935_34|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|