Aburatani Sachiyo, Goto Kousuke, Saito Shigeru, Fumoto Masaki, Imaizumi Akira, Sugaya Nobuyoshi, Murakami Hiroo, Sato Makihiko, Toh Hiroyuki, Horimoto Katsuhisa
Laboratory of Biostatistics, Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokane-dai, Minato-ku, Tokyo 108-8639, Japan.
Bioinformatics. 2004 Nov 1;20(16):2853-6. doi: 10.1093/bioinformatics/bth296. Epub 2004 May 6.
We constructed a website for inferring a network by applying the graphical Gaussian model, from a large amount of data, including redundant information. The available tools on the website are based on a system, named ASIAN (Automatic System for Inferring A Network), in combination with the two methods in our previous papers, which were designed to analyze gene expression profiles on a genomic scale. One of the remarkable features of the website is its ability to infer a network, concomitant with hierarchical clustering and the following estimation of cluster boundaries.
我们构建了一个网站,用于通过应用图形高斯模型从大量数据(包括冗余信息)中推断网络。该网站上可用的工具基于一个名为ASIAN(自动网络推断系统)的系统,并结合了我们之前论文中的两种方法,这些方法旨在在基因组规模上分析基因表达谱。该网站的一个显著特点是能够推断网络,并同时进行层次聚类以及随后对聚类边界的估计。