ASIAN: a website for network inference

被引：9

作者：

Aburatani, S

Goto, K

Saito, S

Fumoto, M

Imaizumi, A

Sugaya, N

Murakami, H

Sato, M

Toh, H

Horimoto, K

机构：

[1] Univ Tokyo, Inst Med Sci, Ctr Human Genome, Lab Biostat,Minato Ku, Tokyo 1088639, Japan

[2] Infocom Corp, Biosci Grp, Chiyoda Ku, Tokyo 1010062, Japan

[3] Ajinomoto Co Inc, Adv Technol Dept, Fermentat & Biotechnol Labs, Kawasaki Ku, Kawasaki, Kanagawa 2108681, Japan

[4] Fujitsu Ltd, Comp Sci & Engn Ctr, Mihama Ku, Chiba 2618588, Japan

[5] Kyoto Univ, Inst Chem Res, Bioinformat Ctr, Kyoto 6110011, Japan

来源：

BIOINFORMATICS | 2004年 / 20卷 / 16期

关键词：

D O I：

10.1093/bioinformatics/bth296

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：2853 / 2856

页数：4

共 13 条

[1] Deduction of a gene regulatory relationship framework from gene expression data by the application of graphical Gaussian modeling [J].