Searching for a small subset of genes out of the thousands of genes in Microarray is a crucial problem for accurate cancer classification. In this paper, a novel gene selection method based on genetic algorithms (GAs) is proposed. In order to reduce the search space of GAs, a novel pre-selection procedure is also introduced. To evaluate the performance of the presented method, experiments on five open datasets are conducted, and the results show that it performs rather well. © Springer-Verlag 2004.
CITATION STYLE
Ni, B., & Liu, J. (2004). A novel method of searching the microarray data for the best gene subsets by using a genetic algorithm. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3242, 1153–1162. https://doi.org/10.1007/978-3-540-30217-9_116
Mendeley helps you to discover research relevant for your work.