An integrated comprehensive workbench for inferring genetic networks: VoyaGene

Yukihiro Maki, Yoriko Takahashi, Yuji Arikawa, Shoji Watanabe, Ken Aoshima, Yukihiro Eguchi, Takanori Ueda, Sachiyo Aburatani, Satoru Kuhara, Masahiro Okamoto

研究成果: Contribution to journalArticle査読

20 被引用数 (Scopus)

抄録

We propose an integrated, comprehensive network-inferring system for genetic interactions, named VoyaGene, which can analyze experimentally observed expression profiles by using and combining the following five independent inferring models: Clustering, Threshold-Test, Bayesian, multi-level digraph and S-system models. Since VoyaGene also has effective tools for visualizing the inferred results, researchers may evaluate the combination of appropriate inferring models, and can construct a genetic network to an accuracy that is beyond the reach of a single inferring model. Through the use of VoyaGene, the present study demonstrates the effectiveness of combining different inferring models.

本文言語英語
ページ(範囲)533-550
ページ数18
ジャーナルJournal of bioinformatics and computational biology
2
3
DOI
出版ステータス出版済み - 9 2004

All Science Journal Classification (ASJC) codes

  • 生化学
  • 分子生物学
  • コンピュータ サイエンスの応用

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