A GRASP metaheuristic for microarray data analysis

Cordone, Roberto and Lulli, Guglielmo (2013) A GRASP metaheuristic for microarray data analysis. Computers and Operations Research, 40 (12). pp. 3108-3120. ISSN 0305-0548

Full text not available from this repository.

Abstract

The Weighted Gene Regulatory Network (WGRN) problem consists in pruning a regulatory network obtained from DNA microarray gene expression data, in order to identify a reduced set of candidate elements which can explain the expression of all other genes. Since the problem appears to be particularly hard for general-purpose solvers, we develop a Greedy Randomized Adaptive Search Procedure (GRASP) and refine it with three alternative Path Relinking procedures. For comparison purposes, we also develop a Tabu Search algorithm with a self-adapting tabu tenure. The experimental results show that GRASP performs better than Tabu Search and that Path Relinking significantly contributes to its effectiveness.

Item Type:
Journal Article
Journal or Publication Title:
Computers and Operations Research
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2611
Subjects:
ID Code:
75941
Deposited By:
Deposited On:
21 Oct 2015 05:02
Refereed?:
Yes
Published?:
Published
Last Modified:
13 Jan 2020 12:08