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...

Full description

Bibliographic Details
Main Authors: Othman, Muhamad Razib, Deris, Safaai, Md. Illias, Rosli
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/2273/1/MuhamadRazibOthman2006_SearchingTheGeneOntologyTerms.pdf
_version_ 1825909212811624448
author Othman, Muhamad Razib
Deris, Safaai
Md. Illias, Rosli
author_facet Othman, Muhamad Razib
Deris, Safaai
Md. Illias, Rosli
author_sort Othman, Muhamad Razib
collection ePrints
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
first_indexed 2024-03-05T17:58:48Z
format Conference or Workshop Item
id utm.eprints-2273
institution Universiti Teknologi Malaysia - ePrints
language English
last_indexed 2024-03-05T17:58:48Z
publishDate 2006
record_format dspace
spelling 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
work_keys_str_mv AT othmanmuhamadrazib searchingthegeneontologytermsusingsemanticsimilaritymeasure
AT derissafaai searchingthegeneontologytermsusingsemanticsimilaritymeasure
AT mdilliasrosli searchingthegeneontologytermsusingsemanticsimilaritymeasure