A Semantic Similarity Measurement Method Based on Information Quality in the Structure of the Gene Ontology
Use this link to cite this item : https://ir.lib.hiroshima-u.ac.jp/00028446
ID | 28446 |
file | |
creator |
Hirai, Junya
Nishizaki, Ichiro
Hayashida, Tomohiro
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subject | gene ontology
semantic similarity
pathway
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NDC |
Technology. Engineering
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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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journal title |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
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start page | 117
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end page | 121
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date of issued | 2009-11
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publisher | IEEE SMC Hiroshima Chapter
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issn | 1883-3977
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language |
eng
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nii type |
Conference Paper
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HU type |
Conference Papers
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DCMI type | text
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format | application/pdf
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text version | publisher
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rights | (c) Copyright by IEEE SMC Hiroshima Chapter.
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relation url | |
department |
Graduate School of Engineering
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