- Title
- Combinatorial optimization models for finding genetic signatures from gene expression datasets
- Creator
- Berretta, Regina; Costa, Wagner; Moscato, Pablo
- Relation
- Bioinformatics, Volume 2. p. 363-377
- Relation
- Methods in Molecular Biology 453
- Publisher Link
- http://dx.doi.org/10.1007/978-1-60327-429-6
- Publisher
- Humana Press
- Resource Type
- book chapter
- Date
- 2008
- Description
- The aim of this chapter is to present combinatorial optimization models and techniques for the analysis of microarray datasets. The chapter illustrates the application of a novel objective function that guides the search for high-quality solutions for sequential ordering of expression profiles. The approach is unsupervised and a metaheuristic method (a memetic algorithm) is used to provide high-quality solutions. For the problem of selecting discriminative groups of ienes, we used a supervised method that has provided good results in a variety of datasets. This chapter illustrates the application of these models in an Alzheimer's disease microarray dataset.
- Subject
- combinatorial optimization; integer programming; gene selection; feature selection; gene ordering; microarray data analysis; Alzheimer's disease
- Identifier
- uon:6628
- Identifier
- http://hdl.handle.net/1959.13/804485
- Identifier
- ISBN:9781603274289
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