Maki Yukihiro, Takahashi Yoriko, Arikawa Yuji, Watanabe Shoji, Aoshima Ken, Eguchi Yukihiro, Ueda Takanori, Aburatani Sachiyo, Kuhara Satoru, Okamoto Masahiro
Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 6-10-1, Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan.
J Bioinform Comput Biol. 2004 Sep;2(3):533-50. doi: 10.1142/s0219720004000727.
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.
我们提出了一种用于基因相互作用的集成式综合网络推断系统,名为VoyaGene,它可以通过使用和组合以下五种独立推断模型来分析实验观察到的表达谱:聚类模型、阈值测试模型、贝叶斯模型、多级有向图模型和S-系统模型。由于VoyaGene还拥有用于可视化推断结果的有效工具,研究人员可以评估合适的推断模型组合,并能够构建出单个推断模型无法企及的精确基因网络。通过使用VoyaGene,本研究证明了组合不同推断模型的有效性。