| Literature DB >> 15359425 |
Yukihiro Maki1, Yoriko Takahashi, Yuji Arikawa, Shoji Watanabe, Ken Aoshima, Yukihiro Eguchi, Takanori Ueda, Sachiyo Aburatani, Satoru Kuhara, Masahiro Okamoto.
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.Entities:
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Year: 2004 PMID: 15359425 DOI: 10.1142/s0219720004000727
Source DB: PubMed Journal: J Bioinform Comput Biol ISSN: 0219-7200 Impact factor: 1.122