ID | 19650 |
Eprint ID | 19650
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FullText URL | |
Author |
Hirai Junya
Katagiri Hideki
Nishizaki Ichiro
Hayashida Tomohiro
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Abstract | Gene ontology (GO) which described a biological concept of gene has attracted attention as an index for measuring semantic similarity of gene. This paper considers a new method for measuring the semantic similarity of GO through an extension and combination of two existing methods by Resnik and Wang et al. in order to improve their drawbacks of effects of shallow annotation. It is shown that the proposed method is superior to existing methods through experiments with pathway data.
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Keywords | gene ontology
semantic similarity
pathway
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Published Date | 2009-11-11
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Publication Title |
Proceedings : Fifth International Workshop on Computational Intelligence & Applications
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Volume | volume2009
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Issue | issue1
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Publisher | IEEE SMC Hiroshima Chapter
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Start Page | 117
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End Page | 121
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ISSN | 1883-3977
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NCID | BB00577064
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Content Type |
Conference Paper
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language |
English
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Copyright Holders | IEEE SMC Hiroshima Chapter
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Event Title | 5th International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2009
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Event Location | 東広島市
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Event Location Alternative | Higashi-Hiroshima City
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File Version | publisher
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Refereed |
True
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Eprints Journal Name | IWCIA
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