An integrated comprehensive workbench for inferring genetic networks: voyagene

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 a...

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Bibliographic Details
Published inJournal of bioinformatics and computational biology Vol. 2; no. 3; p. 533
Main Authors Maki, Yukihiro, Takahashi, Yoriko, Arikawa, Yuji, Watanabe, Shoji, Aoshima, Ken, Eguchi, Yukihiro, Ueda, Takanori, Aburatani, Sachiyo, Kuhara, Satoru, Okamoto, Masahiro
Format Journal Article
LanguageEnglish
Published Singapore 01.09.2004
Subjects
Algorithms
Bayes Theorem
Computer Graphics
Computer Simulation
Gene Expression Profiling - methods
Gene Expression Regulation - physiology
Models, Genetic
Models, Statistical
Oligonucleotide Array Sequence Analysis - methods
Signal Transduction - physiology
Software
Systems Integration
User-Computer Interface
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Summary: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.
ISSN:0219-7200
DOI:10.1142/s0219720004000727