A GO Similarity Measurement Method Based on Information Contents and Semantic Values(<Special Issue>Information Systems and Human Sciences)

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概要

• 論文の詳細を見る

• Gene ontology (GO) which describes a biological concept of genes has attracted attention as an index for measuring semantic similarity of genes. This paper considers a new method for measuring a semantic similarity of GO, which removes some drawbacks of existing measurement methods. The proposed method is constructed by incorporating the concept of information content into the semantic value. It is shown that the proposed method is superior to existing methods through experiments with pathway data.

• バイオメディカル・ファジィ・システム学会の論文

著者

• MIYAMORI Hisashi

  Department of Molecular Virology and Oncology, Cancer Research Institute

• Katagiri Hideki

  Graduate School Of Engineering Hiroshima University

• Nishizaki Ichiro

  Graduate School Of Engineering Hiroshima University

• Katagiri Hideki

  Graduate School of Engineering, Hiroshima University

• Hayashida Tomohiro

  Graduate School of Engineering Hiroshima University

• Endo Yoshio

  Cancer Research Institute, Kanazawa University

• Hirai Junya

  Graduate School of Engineering, Hiroshima University

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