(original) (raw)

TY - CHAP AU - Berretta, Regina AU - Costa, Wagner AU - Moscato, Pablo ED - Keith, Jonathan M. PY - 2008 DA - 2008// TI - Combinatorial Optimization Models for Finding Genetic Signatures from Gene Expression Datasets BT - Bioinformatics: Structure, Function and Applications SP - 363 EP - 377 PB - Humana Press CY - Totowa, NJ AB - 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 genes, 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. SN - 978-1-60327-429-6 UR - https://doi.org/10.1007/978-1-60327-429-6\_19 DO - 10.1007/978-1-60327-429-6_19 ID - Berretta2008 ER -