Searching the gene ontology terms using semantic similarity measure
The most important property of the Gene Ontology is the terms. These control vocabularies are defined to provide consistent descriptions of gene products that are shareable and computationally accessible by humans, software agent, or other machine-readable meta-data. Each term is associated with inf...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2006
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| Online Access: | http://eprints.utm.my/2273/1/MuhamadRazibOthman2006_SearchingTheGeneOntologyTerms.pdf http://eprints.utm.my/2273/ |
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| _version_ | 1845470654996938752 |
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| author | Othman, Muhamad Razib Deris, Safaai Md. Illias, Rosli |
| author_facet | Othman, Muhamad Razib Deris, Safaai Md. Illias, Rosli |
| author_sort | Othman, Muhamad Razib |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The most important property of the Gene Ontology is the terms. These control vocabularies are defined to provide consistent descriptions of gene products that are shareable and computationally accessible by humans, software agent, or other machine-readable meta-data. Each term is associated with information such as definition, synonyms, database references, amino acid sequences, and relationships to other terms. This information has made the Gene Ontology broadly applied in microarray and proteomic analysis. However, the process of searching the term is still carried out using traditional approach which is based on keyword matching. The weaknesses of this approach are: ignoring semantic relationships between terms, and highly depending on a specialist to find similar terms. Therefore, semantic similarity measure is used to compute similitude strength between terms and computational results are presented |
| format | Conference or Workshop Item |
| id | my.utm.eprints-2273 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2006 |
| record_format | eprints |
| spelling | my.utm.eprints-22732010-10-12T05:38:18Z http://eprints.utm.my/2273/ Searching the gene ontology terms using semantic similarity measure Othman, Muhamad Razib Deris, Safaai Md. Illias, Rosli L Education (General) The most important property of the Gene Ontology is the terms. These control vocabularies are defined to provide consistent descriptions of gene products that are shareable and computationally accessible by humans, software agent, or other machine-readable meta-data. Each term is associated with information such as definition, synonyms, database references, amino acid sequences, and relationships to other terms. This information has made the Gene Ontology broadly applied in microarray and proteomic analysis. However, the process of searching the term is still carried out using traditional approach which is based on keyword matching. The weaknesses of this approach are: ignoring semantic relationships between terms, and highly depending on a specialist to find similar terms. Therefore, semantic similarity measure is used to compute similitude strength between terms and computational results are presented 2006 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/2273/1/MuhamadRazibOthman2006_SearchingTheGeneOntologyTerms.pdf Othman, Muhamad Razib and Deris, Safaai and Md. Illias, Rosli (2006) Searching the gene ontology terms using semantic similarity measure. In: Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 May 2006, Postgraduate Studies Department FSKSM, UTM Skudai. (Unpublished) |
| spellingShingle | L Education (General) Othman, Muhamad Razib Deris, Safaai Md. Illias, Rosli Searching the gene ontology terms using semantic similarity measure |
| title | Searching the gene ontology terms using semantic similarity measure |
| title_full | Searching the gene ontology terms using semantic similarity measure |
| title_fullStr | Searching the gene ontology terms using semantic similarity measure |
| title_full_unstemmed | Searching the gene ontology terms using semantic similarity measure |
| title_short | Searching the gene ontology terms using semantic similarity measure |
| title_sort | searching the gene ontology terms using semantic similarity measure |
| topic | L Education (General) |
| url | http://eprints.utm.my/2273/1/MuhamadRazibOthman2006_SearchingTheGeneOntologyTerms.pdf http://eprints.utm.my/2273/ |
| url_provider | http://eprints.utm.my/ |