Detail Genetic programming based DNA microarray analysis for classification of tumor tissues Bibliografi Author: Rosskopf, Michael ; Feldkamp, Udo ; Banzhaf, W. Topik: DNA Microarray Bahasa: (EN )     Penerbit: RML Technologies Inc     Tempat Terbit: USA    Tahun Terbit: 2004     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: Genetics Programming Based DNA Microarray(1).pdf (555.5KB; 0 download) [Informasi yang berkaitan dengan koleksi ini di internet] Abstract Gene expression data gained from DNA- microarrays have been examined with several approaches during the last few years. In many cases statistical methods or learning techniques were used to classify the origin or state of tissues the gene samples have been taken from. In this article we present a Genetic Programming (GP) approach to this problem. We trained classifiers on four different public cancer data sets, including multi-class sets, using the general purpose GP-system DISCIPULUS. In a preprocessing step a subset of all sampled genes has to be selected to get smaller data sets and to avoid overfitting. We examined several different statistical measures on their applicability to this selection. The results indicate that GP is an appropriate method for gene expression data analysis. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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