Detail Hierarchical Multi-Bottleneck Classification Method And Its Application to DNA Microarray Expression Data Bibliografi Author: Xiong, Xuejian ; Fai, Wong Weng ; Hsu, Wen-Jing Topik: DNA Microarray; Hierarchical Multi-Bottleneck Classification; Saccharomyces cerevisiae Bahasa: (EN )     Penerbit: Singapore-MIT Alliance     Tempat Terbit: Singapore    Tahun Terbit: 0     Jenis: Papers/Makalah Fulltext: CS013.pdf (116.07KB; 0 download) [Informasi yang berkaitan dengan koleksi ini di internet] Abstract The recent development of DNA microarray technology is creating a wealth of gene expression data. Typically these datasets have high dimensionality and a lot of varieties. Analysis of DNA microarray expression data is a fast growing research area that interfaces various disciplines such as biology, biochemistry, computer science and statistics. It is concluded that clustering and classification techniques can be successfully employed to group genes based on the similarity of their expression patterns. In this paper, a hierarchical multi-bottleneck classification method is proposed, and it is applied to classify a publicly available gene microarray expression data of budding yeast Saccharomyces cerevisiae. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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