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

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)533-550
Number of pages18
JournalJournal of bioinformatics and computational biology
Volume2
Issue number3
DOIs
Publication statusPublished - Sep 2004

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology
  • Computer Science Applications

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