Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm
In this work, gene expression in autism spectrum disorder (ASD) is analyzed with the goal of selecting the most attributed genes and performing classification. The objective was achieved by utilizing a combination of various statistical filters and a wrapper-based geometric binary particle swarm opt...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science
2017
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| Online Access: | http://eprints.utm.my/74849/1/RohayantiHassan2017_SelectionandClassificationofGeneExpression.pdf |
| _version_ | 1796862268092186624 |
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| author | Hameed, S. S. Hassan, R. Muhammad, F. F. |
| author_facet | Hameed, S. S. Hassan, R. Muhammad, F. F. |
| author_sort | Hameed, S. S. |
| collection | ePrints |
| description | In this work, gene expression in autism spectrum disorder (ASD) is analyzed with the goal of selecting the most attributed genes and performing classification. The objective was achieved by utilizing a combination of various statistical filters and a wrapper-based geometric binary particle swarm optimization-support vector machine (GBPSO-SVM) algorithm. The utilization of different filters was accentuated by incorporating a mean and median ratio criterion to remove very similar genes. The results showed that the most discriminative genes that were identified in the first and last selection steps included the presence of a repetitive gene (CAPS2), which was assigned as the gene most highly related to ASD risk. The merged gene subset that was selected by the GBPSO-SVM algorithm was able to enhance the classification accuracy. |
| first_indexed | 2024-03-05T20:09:02Z |
| format | Article |
| id | utm.eprints-74849 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:09:02Z |
| publishDate | 2017 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | utm.eprints-748492018-03-21T00:22:33Z http://eprints.utm.my/74849/ Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm Hameed, S. S. Hassan, R. Muhammad, F. F. QA75 Electronic computers. Computer science In this work, gene expression in autism spectrum disorder (ASD) is analyzed with the goal of selecting the most attributed genes and performing classification. The objective was achieved by utilizing a combination of various statistical filters and a wrapper-based geometric binary particle swarm optimization-support vector machine (GBPSO-SVM) algorithm. The utilization of different filters was accentuated by incorporating a mean and median ratio criterion to remove very similar genes. The results showed that the most discriminative genes that were identified in the first and last selection steps included the presence of a repetitive gene (CAPS2), which was assigned as the gene most highly related to ASD risk. The merged gene subset that was selected by the GBPSO-SVM algorithm was able to enhance the classification accuracy. Public Library of Science 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/74849/1/RohayantiHassan2017_SelectionandClassificationofGeneExpression.pdf Hameed, S. S. and Hassan, R. and Muhammad, F. F. (2017) Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm. PLoS ONE, 12 (11). ISSN 1932-6203 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033361187&doi=10.1371%2fjournal.pone.0187371&partnerID=40&md5=f9260d41165145f229a3cf157699635e DOI:10.1371/journal.pone.0187371 |
| spellingShingle | QA75 Electronic computers. Computer science Hameed, S. S. Hassan, R. Muhammad, F. F. Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm |
| title | Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm |
| title_full | Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm |
| title_fullStr | Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm |
| title_full_unstemmed | Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm |
| title_short | Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm |
| title_sort | selection and classification of gene expression in autism disorder use of a combination of statistical filters and a gbpso svm algorithm |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/74849/1/RohayantiHassan2017_SelectionandClassificationofGeneExpression.pdf |
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