ASIAN: A website for network inference

Sachiyo Aburatani, Kousuke Goto, Shigeru Saito, Masaki Fumoto, Akira Imaizumi, Nobuyoshi Sugaya, Hiroo Murakami, Makihiko Sato, Hiroyuki Toh, Katsuhisa Horimoto*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Summary: 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.

Original languageEnglish (US)
Pages (from-to)2853-2856
Number of pages4
Issue number16
StatePublished - Nov 1 2004
Externally publishedYes

Bibliographical note

Funding Information:
K.H. was partly supported by a Grant-in-Aid for Scientific Research on Priority Areas ‘Genome Information Science’ (grant 15014208) and for Scientific Research (B) (grant 15310134), from the Ministry of Education, Culture, Sports, Science and Technology of Japan.

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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