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

doi:10.1093/bioinformatics/bth296

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 journal › Article › peer-review

13 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	2853-2856
Number of pages	4
Journal	Bioinformatics
Volume	20
Issue number	16
DOIs	https://doi.org/10.1093/bioinformatics/bth296
State	Published - Nov 1 2004
Externally published	Yes

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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Cite this

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abstract = "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.",

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

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doi = "10.1093/bioinformatics/bth296",

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AU - Aburatani, Sachiyo

AU - Goto, Kousuke

AU - Saito, Shigeru

AU - Fumoto, Masaki

AU - Imaizumi, Akira

AU - Sugaya, Nobuyoshi

AU - Murakami, Hiroo

AU - Sato, Makihiko

AU - Toh, Hiroyuki

AU - Horimoto, Katsuhisa

N1 - 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.

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Y1 - 2004/11/1

N2 - 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.

AB - 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.

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ASIAN: A website for network inference

Abstract

Bibliographical note

ASJC Scopus subject areas

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