An integrated comprehensive workbench for inferring genetic networks: voyagene |
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Authors: | Maki Yukihiro Takahashi Yoriko Arikawa Yuji Watanabe Shoji Aoshima Ken Eguchi Yukihiro Ueda Takanori Aburatani Sachiyo Kuhara Satoru Okamoto Masahiro |
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Institution: | Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 6-10-1, Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan. maki@brs.kyushu-u.ac.jp |
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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. |
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