https://scholars.lib.ntu.edu.tw/handle/123456789/321402
Title: | Pattern classification in DNA microarray data of multiple tumor types | Authors: | Lin, Tsun-Chen CHIEN-YU CHEN Liu, Ru-Sheng Chen, Chien-Yu Chao, Ya-Ting Chen, Shu-Yuan |
Keywords: | Cancer classification; Gene expression profiling; Genetic algorithm; Silhouette statistics | Issue Date: | 2006 | Journal Volume: | 39 | Journal Issue: | 12 | Start page/Pages: | 2426-2438 | Source: | Pattern Recognition | Abstract: | In this paper, we propose a genetic algorithm with silhouette statistics as discriminant function (GASS) for gene selection and pattern recognition. The proposed method evaluates gene expression patterns for discriminating heterogeneous cancers. Distance metrics and classification rules have also been analyzed to design a GASS with high classification accuracy. Moreover, the proposed method is compared to previously published methods. Various experimental results show that our method is effective for classifying the NCI60, the GCM and the SRBCTs datasets. Moreover, GASS outperforms other existing methods in both the leave-one-out cross validations and the independent test for novel data. ? 2006 Pattern Recognition Society. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-33748420317&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/321402 |
DOI: | 10.1016/j.patcog.2006.01.004 | SDG/Keyword: | Data reduction; Data structures; DNA; Genes; Genetic algorithms; Pattern recognition; Cancer classification; Gene expression profiling; Silhouette statistics; Tumors |
Appears in Collections: | 生物機電工程學系 |
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